MANIPULATION OF LARGE FLEXIBLE STRUCTURAL MODULES BY SPACE ROBOTS MOUNTED ON FLEXIBLE STRUCTURES

Size: px
Start display at page:

Download "MANIPULATION OF LARGE FLEXIBLE STRUCTURAL MODULES BY SPACE ROBOTS MOUNTED ON FLEXIBLE STRUCTURES"

Transcription

1 MANIPULAION O LARGE LEXIBLE SRUCURAL MODULES BY SPACE ROBOS MOUNED ON LEXIBLE SRUCURES Dmtro zeran 1, Yohyuk Ihjma 2, Steven Dubowky 1 (1) MI, 77 Maachuett Avenue #3469, Cambrdge, MA 2139, USA, {tzeran,dubowky}@mt.edu (2) Japan Aeropace Exploraton Agency, 211, Sengen, ukuba, Ibarak, 35855, Japan, hjma.yohyuk@jaxa.jp ABSRAC uture large pace tructure (LSS) wll be contructed on orbt by aemblng large ubaemble ung team o robot. Here, the challengng tak o the control and plannng o the cooperatve manpulaton o large lexble tructural module by uch team addreed. he robot are mounted on the complant LSS whle movng a module to t preaembly poton. he objectve to poton the module accurately and to mnmze the nduced vbraton n the large tructure and the module. A method developed to control the orce appled by the robot to the module and ther upport tructure, whch explot robot cooperaton and redundancy. he method evaluated ung mulaton. 1. INRODUCION uture pace olar power taton (SSPS) are expected to be an mportant power ource [1]. Due to ther large ze, they wll need to be contructed on orbt by pace robot nce human extravehcle actvty (EVA) expenve and dangerou [2]. Stude o the robotc contructon o LSS have largely ocued on the aembly o tru tructure by mall mple tructural element and on the degn o pace tructure component [3, 4]. However, the problem o ung robot to manpulate and aemble large lexble ubtructure ha not been well addreed. Related work can be ound n the cooperatve manpulaton o lexble object and n the plannng and control o robot on complant bae [5, 6, 7]. Here, the problem o cooperatve manpulaton o a large lexble object by a team o robot mounted on the LSS under contructon condered. he objectve to degn a plannng and control algorthm that permt robot to manpulate the tructural module precely whle nducng low level o vbraton n the module and the robot complant bae tructure, g 1. he propoed approach ue meaurement o the orce/torque appled by the robot to the module and the LSS and explot robot cooperaton and redundancy to plan and control the orce appled by the robot to the module and the LSS. Smulaton reult how the eectvene o the approach n potonng the module precely whle mantanng low level o redual vbraton n the module and the large tructure. he analy alo provde gudelne or the robot degn that enhance t ablty to apply the propoed method. Large lexble Structural Module Space Manpulator LSS under contructon g. 1 : Concept pcture or the contructon o LSS by pace robot mounted on lexble tructure. 2. PROBLEM DEINIION 2.1 ak Decrpton uture LSS wll be contructed by aemblng large tructural module on orbt [1]. Every module need to be potoned nto t prece preaembly poton o that t can be aembled nto the LSS probably ung automatc connecton mechanm [4]. h manpulaton tak wll be carred out by pace manpulator mounted on the LSS. h a challengng cooperatve manpulaton tak due to the ze and lexblty o the LSS module and the lexblty o the LSS that upport the robot. A mple planar model o uch a ytem hown n g. 2. wo rgd lnk redundant robot (etmated ze 2m) maneuver a long (etmated ze 1 to 2 m) lexble tructural module rom ome ntal poton (about 8m Proc. o 'he 8th Internatonal Sympoum on Artcal Intellgence, Robotc and Automaton n Space SAIRAS, Munch, Germany. 58 September 25, (ESA SP63, Augut 25)

2 rom the LSS) to t preaembly poton (le than 1m rom the LSS). he robot are mounted on the LSS under contructon. he drawng not to cale a the module lkely to be an order o magntude larger than the robot. he objectve to ue robot to poton the module precely nto t dered poton, n gven tme (about 36 econd), whle nducng mnmal level o vbraton to the module and the robot bae tructure. Whle the example condered n th paper are planar, the approach can be extended to the more general threedmenonal cae. g. 3b how an example LSS concept conguraton condered n th tudy. he tructure dameter approxmately two klometre. or uch a planarlke tructure, the tructure tne n the plane o the tructure much larger than the tne normal to th plane. Robot 1 orce/orque enor Bae LSS 2.2 Sytem Model LSS Module r e1 Y Z X r G y x r e2 è g. 2. Sytem model Reacton Wheel Robot 2 Each robot aumed to have N rgd lnk and a reacton wheel whoe ax parallel to the Z ax, g 2. It aumed that each robot ha at leat three lnk and that t grap the beam rmly at t end. Each robot apple orce to the module but not torque (the connecton act a a pnned jont). he tate o each robot decrbed by t jont angle vector θ, where =1 reer to the let robot and =2 to the rght robot. denote the torque appled at the jont o robot, the orce appled by robot to the module and J e the Jacoban or the poton r o robot endeector: e J e e r& = & θ (1) he robot dynamc wrtten n operaton pace (concde wth the nertal rame XYZ) are [8]: B & r η D r& = γ (2) A e A where η are nonlnear term and B A A, D A are the manpulator nerta and dampng matrce wth repect to t operaton pace. he vector γ the contrbuton o the endeector orce due to jont actuaton e A e : = J γ (3) he reacton orce and moment b µ exerted to b the LSS by the robot are (aumng low bae moton): b d L = (4) µ dt H r Ge r Gb b b where L, H are the robot lnear and angular momentum and r Ge, r Gb are vector tartng rom the robot centre o ma and endng at t endeector and bae repectvely. he module aumed to be contructed rom lender rod and cable and can be modelled a a long Euler Bernoull beam, g. 3a. he beam rgd body moton decrbed by t orentaton θ and the nertal poton r G o t centre o ma, g 2. Gven the nature o the tak condered here, θ and & θ are aumed to be relatvely mall. It alo aumed that the eect o orbtal mechanc neglgble, that the knematc and dynamc parameter o the module are relatvely well known and that ntally the beam ha no vbraton. he beam vbraton dplacement u approxmated by the rgd body moton and the rt N mode o the reeree beam through the aumed mode method [9]. he correpondng equaton or the dynamc o the reeree beam are: M & x = W (5) r [ ] 1 2 h1 ( t) 2 1 q& 2Z Ωq& Ω q = W =... (6) v 2 h ( t) N where [ ] x = θ the beam rgd body tate, r G M the beam ma matrx, Z and Ω are the beam modal dampng and natural requency matrce, and W r, W v are grap matrce [1]. g. 3. Sample LSS tructural module (a) and LSS under contructon (b) 3. APPROACH OVERVIEW In the propoed approach, called Vbraton Mnmzaton ung Redundancy (VMR), robot plan

3 and control the orce they apply to the module and the LSS through cloed loop orce controller, g. 4. he robot plan and control the orce they apply to the module cooperatvely o that the module potoned accurately and wth low level o redual vbraton. Each robot explot t redundancy to plan and control the reacton orce and torque b µ t apple to b the LSS o that the vbraton nduced to the LSS mnmzed whle t avod collon or underable conguraton. orce Plannng d Endpont orce Controller Bae orce & Moment Controller b, ì b ô E ô B è ô g. 4. Overvew o the VMR algorthm Plant Dynamc or the cae condered here, the plannng and control algorthm or the orce appled to the module and to the LSS are omewhat derent. he endpont orce controller or the orce calculate jont torque E or all robot ung orce meaurement rom all robot. h orm o robot cooperaton mprove the ablty o the robot to control the orce compared to the cae where each robot control the orce t apple to the module ndependently. he dered orce d or each robot are planned o that the module placed accurately, wth low redual vbraton and the load dtrbuted evenly among the robot. Each robot plan and control ndependently the reacton orce and moment µ t apple to the b b LSS whle multaneouly avod underable conguraton. he dered reacton and bd µ bd mnmze the exctaton o vbraton n the LSS. h acheved through a varaton o the parallel orce/poton control cheme n combnaton wth robot moton plannng and ue o reacton wheel [11]. he total actuaton or the robot jont : = E B = J eγ E B (7) where E and B are the jont torque or the th robot rom the endpont orce controller and the bae reacton orce/moment controller repectvely. 4. ORCE PLANNING h ecton decrbe a mple algorthm or the calculaton o the dered orce that robot are to d apply to the module o that t potoned accurately and wth low level o redual vbraton. he ntal beam poton and orentaton are r G ( ) = and θ ( ) =. he dered module poton and orentaton are r G ( t), θ, where t the maneuver duraton. he jth component o d expreed a a um o M nuod: jd M ( t) = { a n( ω t)} (8) k= 1 jk where =1,2 and j = X,Y. he requence ω p are choen to be wthn the bandwdth o the endpont orce controller. he value o the parameter a jk are ound by mpong the ollowng contrant: 1. he orce are alway mooth. d 2. he orce caue the beam to tranlate by d r G and rotate by θ. 3. he orce nduce mnmum redual d vbraton n the beam ater the maneuver. h acheved by mpong the ollowng condton or each one o the beam mode that domnate t vbraton repone [12]: L{ h } t h ( t) e p t dt = (9) where h dened n Eq. 6 and the pole o beam mode. he condton or robut redual vbraton elmnaton at th mode : t dl{ h} t = th ( t) e dt = (1) d he mode that domnate the beam vbraton repone when the beam excted at t end by the orce are elected a the mode wth the hghet Hankel ngular value [13]. or mall angle θ, the mpoed condton orm a lnear ytem A p a = b p where A p, b p are coecent matrce and a contan the unknown parameter a jk. he oluton o th ytem obtaned by ung the peudonvere o A [1]. p

4 h orce plannng approach computatonally ecent and provde mooth orce prole. Redual vbraton elmnaton can alo be acheved by nput hapng [14]. he method decrbed n th ecton omewhat more general than nput hapng becaue t can deal wth nonzero ntal vbraton condton. It alo can be run onlne to provde updated orce command wthout nducng tme delay. 5. ORCE CONROL DESIGN 5.1 Endpont orce Controller h ecton decrbe the degn o the endpont orce controller that control the orce robot apply to the module n order to track the command. he d degn baed on a lnearzed nomnal model o the robotbeam dynamc, obtaned or ome robot conguraton (where B A and D A are contant): γ 1 x& = A x B γ 2 (11) 1 = C x 2 where x the ytem tate. he vector γ are dened n Eq. 2 and 3. he plant zero are the pole o the reeree beam. he plant pole are the pole o the total robotbeam ytem. Snce pace tructure have poor modal dampng, the ytem pole and zero are located very cloe to the magnary ax. I each robot control ndependently t nteracton orce by a PI controller (orce controller uually contan P and I term to avod the derentaton o noy orce gnal) the cloed loop perormance poor becaue controller gan mut be kept too mall to avod makng the cloed loop ytem untable. h problem overcome by the controller degn hown n g. 5. he endpont orce controller cont o a tate eedback controller (centralzed controller) combned wth the ndvdual PI controller that each robot ue to control t. he centralzed control acton ue meaurement o rom all robot to calculate jont torque or all robot: C C γ γ = K x (12) [ ] E1 E 2 C γ the part o γ (ee Eq. 7) that E E where correpond to the centralzed part o the controller. he ytem tate x etmated rom meaurement o. he centralzed part o the controller explot robot cooperaton to mody the dynamc o the robotmodule ytem. h allow the applcaton o larger gan n the PI controller o each robot that mprove cloed loop perormance. 1d 2d 1 2 Robot 1 PI orce controller Robot 2 PI orce controller Decentralzed Control Acton ã E1 ã E2 J e1 J e2 ô ô Centralzed Control Acton E1 E2 tate eedback controller g. 5. Endpont orce controller Plant Dynamc 2 1 he robutne o the cloed loop perormance to the conguraton dependent nertal properte o the robot acheved n two way. he rt the applcaton o an actve dampng term: damp = J e D Ad J & eθ (13) where D Ad the dered dampng or robot, ee Eq. 2. he econd to mnmze the robot nerta een by the beam. h acheved by a multlnk robot degn where the majorty o t weght concentrated n t mddle lnk and by explotng robot redundancy to avod certan robot conguraton (or example ngular one). 5.2 Bae Reacton orce/moment Controller h ecton decrbe the cloed loop controller or the reacton orce and torque b µ appled by each b robot to the LSS. It aumed that the LSS ntally ha neglgble vbraton. It dered to keep the vbraton mall by elmnatng the reacton and µ n the b b drecton that nduce gncant vbraton n the LSS. or the cae condered here, th the drecton normal to the plane o the LSS, ee g. 3b. he degn o the bae reacton orce controller derent than the degn o the endpont orce controller (ecton 5.1). Each robot apple a cloed loop cheme to control t own reacton orce and to avod underable jont conguraton. he controller hown n g 6, and a varaton o the parallel orce/poton control cheme [11]. Each robot control the moton o t redundant jont θ and t reacton wheel ψ by mple jont PD controller. Snce each robot control already the two

5 component o, t ha the reedom to control the N 2 remanng jont. he cloed loop orce/moment acton acheved by tranlatng the error between the dered and the actual bae reacton orce and moment nto a change n the dered jont acceleraton & θ d through a PI controller. d Module Dynamc Model Robot Momentum Plannng Robot Moton Plannng r e.. L, H PrortyBaed Robot Invere Knematc è d ø d Robot Jont Controller PI Controller è, ø ô B Sytem Dynamc b, ì b bd, ì bd gure 6: Bae reacton orce/moment controller he command or the robot jont moton θ d and the robot reacton wheel moton ψ are calculated through d a prortybaed nvere knematc algorthm [1]. he algorthm prorte are: 1. he robot endeector velocty matche the etmated moton rˆ e o the correpondng beam end that nduced by the planned orce. d rˆ & e = J & e θ d (14) 2. he momentum o the robotmodule ytem reman contant. he momentum o each robot approxmated through a Jacoban J R a: L & θ = J R (15) H ψ& hen θ, ψ are planned o that the dervatve d d o robot momentum equal the eectve orce and moment at the robot CM due to the orce appled by the module to the robot : && θ d BCL d = J R (16) r Ge µ d BCL & ψ d where, µ are the output o the bae BCL BCL reacton orce/moment PI controller. 3. he robot avod underable conguraton. Each robot can control the orce whle elmnatng bae reacton orce t able to vary t lnear b momentum accordng to Eq. 16. Aumng low robot bae moton, the robot momentum expreed a: L = m & r& ) (17) ( Gb d h ablty lmted by the ze o the locu o reachable locaton or the robot CM (CMworkpace) r Gb. he ze o the CMworkpace larger or robot that have many lnk and concentrate ther weght n a ngle heavy mddle lnk. he elmnaton o bae reacton moment µ mproved by ung reacton b wheel that do not have workpace contrant although they can be lmted by actuator torque and peed lmt. 6. SIMULAION RESULS 6.1 Sytem Decrpton he perormance o the VMR controller evaluated by mulatng a planar manpulaton o a beamlke lexble module by two robot, ee g. 2. he properte o each robot are hown n able 1. Each robot ha orce/torque enor n both endeector and a reacton wheel at t mddle lnk, ee g. 7. Heavy robot body Reacton wheel Z Y X è 13 è 14 è 12 Bae LSS m b è 15 è 16 orce/orque enor è 11 kb è 17 LSS Module (ntal poton) LSS Module (nal poton) g. 7. he planar ytem ued n mulaton. Only one o the two robot that manpulate the beam hown. able 1: Robot properte Number o lnk: 7 Lnk length [m]: [3, 3, 3, 2, 3, 3, 3] Lnk ma [kg]: [18,18,18,242,18,18,18] Reacton wheel nerta [kg m 2 ] 2 he module modelled a an EulerBernoull beam. he properte o the beam condered n the mulaton are hown n able 2. able 2: Beam properte Length [m]: 2 Young modulu [GPa].159 Lnear denty [kg/m]: 3 Lowet vbraton mode [Hz] 1 =.197, 2 =.539, 3 =1.42 he robot bae tructure condered rgd n the X drecton and complant n the Y drecton. he bae dynamc n the Y drecton are modelled by a ma m o 2 kg and a prng rate k o 2 N/m, g. 7. B B

6 he robot manpulate the beam rom t ntal poton r G (), θ () to t nal dered poton r G ( t),. he parameter o the θ wthn tme t mulated manpulaton tak are hown n able 3. he degn o the robot controller baed on the peccaton hown n able 4. able 3: Manpulaton parameter Beam ntal poton r G () [m] [,] Beam dered poton r G ( t) [m] [,6] Beam ntal orentaton θ () [deg] Beam dered orentaton θ [deg] Manpulaton duraton t [ec] 4 able 4: Controller degn peccaton Poton error o r G ( t) [m] ±.1 Orentaton error o θ [deg] ±.5 Redual vbraton at beam end [m] ±.1 Redual vbraton at robot bae [m] ± VMR Controller Degn he VMR algorthm, g. 4, cont o an endpont orce controller or the orce appled by the robot to the module, and a bae reacton controller or the robot bae reacton orce/moment and jont moton. able 5 provde the pole that are ued to calculate the gan K or the centralzed part o the endpont orce controller. able 5 alo provde the poton o the correpondng pole o the reeree beam. able 5: Dered pole o the robotmodule dynamc reeree Beam Pole Dered pole or the degn o the gan K 1 =.116 ± =.6 ± j 2 = =.5 ± 2.9j he nput o the centralzed orce controller ltered by a lowpa lter to avod pllover eect [15]. he cutto requency o the lter ω = 4.5 rad/ec: he decentralzed part o the endpont orce controller cont o PI controller or each component o. he beam condered rgd along the X drecton and lexble along the Y drecton. hereore, derent PI controller G CX, G were ued to control the X and CY Y component o :.88.8 G CX = 2 b.75.5 G CY = 2 he actve dampng added by each robot to the ytem, Eq 13, correpond to the dampng matrx: 5 D Ad = 2 he parallel orce/poton controller or the bae reacton orce and torque cont o jont PD controller or the robot redundant degree o reedom and a PI controller or each component o bae reacton, g 6. he PD jont controller gan or the rt jont o the robot are K = 1[ ] K DM and = 1[ ]. he PD gan or the reacton wheel control are k Pw = 2 and k Dw = 5. he PI controller or each component o the bae reacton orce and moment are: G CB ( ) = Smulaton Reult he robot degn ued n the mulaton ha a large number o jont and the majorty o t weght concentrated n a ngle mddle lnk, the robot body. h degn ha two derable eect. he rt that the beam eel a very lght robot a long a the robot avod conguraton where t lat two jont are concurrently maller than 3 degree. h make the robot able to control ater command. he econd that the CMworkpace o the robot relatvely large, roughly a crcle wth radu 9m. h make eaer or the robot to elmnate t bae reacton orce whle controllng the orce t apple to the module, ee Secton 5.2. g. 8 how the calculated orce that each robot d commanded to apply to the module. Each orce component planned a a um o M=2 nuod. he obtaned orce command mooth and a d expected reult n acceleratng and then deceleratng the beam. g. 8 alo how the mulaton reult or the orce ung the VMR algorthm. he delay between the command and the repone d generally le than 1 ec. PM

7 orce [N] repone Y command Yd repone X In th cae, where the bae aumed to be rgd along the X drecton, each robot need to control only the Y component o t bae reacton orce. he dered command byd =. Each robot ue t reacton wheel to reduce the magntude o the torque t apple to the LSS. In the general three dmenonal cae robot could control all the component o and µ. b b 1 15 command Xd tme [ec] g. 8. orce command d ung the VMR method. and actual orce repone he endpont controller track the commanded orce well enough to poton the beam wthn the d requred poton accuracy. g. 9 how the repone o the beam moton ung the VMR method and the repone o the beam when the beam drven by deal orce equal to. g. 9a how the repone o the d beam CM moton. g. 9b how the repone o vbraton delecton at the beam end. he derence between the deal cae and the reult ung the VMR algorthm mall. beam CM Y poton [m] vbraton dplacement [m] repone ung VMR beam drven by orce d tme [ec] beam drven by orce d repone ung VMR tme [ec] (A) (B) g. 9. a)poton repone o the beam CM and b) vbraton delecton at the let beam end. g. 1 and 11 how the eectvene o the VMR algorthm n elmnatng bae reacton orce and moment. hey how mulaton reult ung the VMR algorthm when the whole algorthm ued and when the bae reacton controller not ued. g. 1 how mulaton reult or the Y component o robot 1 bae reacton orce b 1 Y. I no bae orce control appled, the magntude o the bae reacton orce omehow larger than the magntude o the command or th d robot. g. 11 how mulaton reult or the bae reacton torque o robot 1. g. 1 and 11 how that the VMR algorthm elmnate the Y component o the reacton orce and reduce the magntude o the torque appled to the bae. orce [N] wthout bae reacton orce control wth bae reacton orce control tme [ec] g. 1. Reacton orce appled to robot 1 by the LSS torque [Nm] wthout plannng acton wth plannng acton tme [ec] g. 11. Reacton torque appled to robot 1 by the LSS

8 g. 12 how mulaton reult or the poton repone o robot 1 bae wth and wthout bae orce control. When the bae reacton orce are not controlled they caue large dplacement n the complant LSS. hee dplacement may orce the robot to get nto underable conguraton that deterorate gncantly the perormance o the endpont orce controller, g. 13. In th cae robot al to poton the beam accurately. he bae reacton orce controller o the MVR algorthm reult n mall bae reacton orce/moment that nduce mall vbraton n the robot bae, g. 12. h allow the ucceul control o the orce that robot apply to the module, ee g. 8. bae dplacement [m] 1.5 wthout bae reacton 1 orce control wth bae reacton orce control tme [ec] g. 12. Bae dplacement repone o robot 1 wth and wthout bae reacton orce control orce [N] repone 1Y 15 command 1Yd tme [ec] 4 5 g. 13. Command orce 1 Yd and repone 1 Y when the bae reacton orce are not controlled. 7. SUMMARY h paper decrbe an algorthm or the manpulaton o large lexble tructural module by a team o redundant robot that are mounted on lexble bae tructure. he algorthm plan and control cooperatvely the orce appled by the robot to the module n order to maneuver the module accurately and wth low redual vbraton. he algorthm alo mnmze vbraton exctaton n the complant robot bae tructure by ung a cloed loop controller and explotng robot redundancy. 8. ACKNOWLEDGEMENS h work ponored at MI by the Japanee Aeropace Exploraton Agency (JAXA). he author would lke to thank Dr. Matt Lchter and Peggy Bonng or ther helpul comment. 9. REERENCES 1. M. Oda et all, Study o the Solar Power Satellte n NASDA, Proc. o SAIRAS 23, Nara, Japan, May W. Whttaker et all, Robotc or Aembly, Inpecton, and Mantenance o Space Macroaclte, AIAA Space 2 Conerence, Reton VA, September 2 3. Senda K. et all, Hardware Experment o Space ru Aembly by Autonomou Space Robot, AIAA Gudance, Navgaton and Control Conerence, Denver CO, Augut 2 4. Doggert W., Robotc Aembly o ru Structure or Space Sytem and uture Reearch Plan, IEEE Aeropace Conerence 22, Vol. 7, March 22, pp Yakawa. et all, Stablty o Control Sytem n Handlng o a lexble Object by Rgd Arm Robot, 1996 IEEE Internatonal Conerence on Robotc and Automaton, Mnneapol MN, pp , Aprl orre, M. and Dubowky, S., Path Plannng or Elatcally Contraned Space Manpulator Sytem, 1993 IEEE Internatonal Conerence on Robotc and Automaton, Atlanta GA, Vol. 1, pp , May Yohda et all, Vbraton Suppreon and Zero Reacton Maneuver o lexble Space Structure Mounted Manpulator, Smart Mater. Struct., 8, 1999, pp Khatb O., Inertal Properte n Robotc Manpulaton: An ObjectLevel ramework, he Internatonal Journal o Robotc Reearch, Vol. 13, No. 1, ebruary 1995, pp Merovch L., Method o Analytcal Dynamc, Dover Publcaton, Nakamura Y., Advanced Robotc; Redundancy and Optmzaton, AddonWeley Publhng, Chavern S., Sclano B., he Parallel Approach to orce/poton Control o Robotc Manpulator, IEEE ran. Automatc Control 1993, 39, pp Bhat S. and Mu D., Prece PonttoPont Potonng Control o lexble Structure, ASME Journal o Dynamc Sytem, Meaurement and Control, December 199, Vol. 112, pp Gawronk W., Dynamc and Control o Structure; a Modal Approach, Sprnger, Snger N.C., Seerng W.P., Prehapng Command Input to Reduce Sytem Vbraton, ASME Journal o Dynamc Sytem, Meaurement and Control, March 199, Vol. 112, pp Bala M., eedback Control o lexble Sytem, IEEE ranacton on Automatc Control, Vol. 23, No. 4, Augut 1978

IDENTIFICATION OF THE PARAMETERS OF MULTI-MASS DIRECT DRIVE SYSTEM

IDENTIFICATION OF THE PARAMETERS OF MULTI-MASS DIRECT DRIVE SYSTEM Prace Naukowe Intytutu Mazyn, Napędów Pomarów Elektrycznych Nr 66 Poltechnk Wrocławkej Nr 66 Studa Materały Nr 32 202 Domnk ŁUCZAK* dentfcaton of the mechancal reonance frequence, pectral analy, Fourer

More information

Centralized PID Control by Decoupling of a Boiler-Turbine Unit

Centralized PID Control by Decoupling of a Boiler-Turbine Unit Proceedng of the European Control Conference 9 Budapet, Hungary, Augut 6, 9 WeA6. Centralzed PID Control by Decouplng of a BolerTurbne Unt Juan Garrdo, Fernando Morlla, and Francco Vázquez Abtract Th paper

More information

Dynamic Optimization. Assignment 1. Sasanka Nagavalli January 29, 2013 Robotics Institute Carnegie Mellon University

Dynamic Optimization. Assignment 1. Sasanka Nagavalli January 29, 2013 Robotics Institute Carnegie Mellon University Dynamc Optmzaton Assgnment 1 Sasanka Nagavall snagaval@andrew.cmu.edu 16-745 January 29, 213 Robotcs Insttute Carnege Mellon Unversty Table of Contents 1. Problem and Approach... 1 2. Optmzaton wthout

More information

ELECTRONICS & COMMUNICATIONS DEP. 3rd YEAR, 2010/2011 CONTROL ENGINEERING SHEET 4 PID Controller

ELECTRONICS & COMMUNICATIONS DEP. 3rd YEAR, 2010/2011 CONTROL ENGINEERING SHEET 4 PID Controller CAIRO UNIVERSITY FACULTY OF ENGINEERING ELECTRONICS & COMMUNICATIONS DEP. 3rd YEAR, 00/0 CONTROL ENGINEERING SHEET 4 PID Controller [] The block dagram of a tye ytem wth a cacade controller G c () hown

More information

PART V. PLL FUNDAMENTALS 1

PART V. PLL FUNDAMENTALS 1 all-017 Joe Slva-Martnez PART. PLL UNDAMENTALS 1 The phae locked loop a very popular crcut ued n many dfferent applcaton; e.g. frequency ynthezer, M and phae demodulator, clock and data recovery ytem,

More information

Full waveform inversion for event location and source mechanism

Full waveform inversion for event location and source mechanism Full waveform nveron for event locaton and ource mechanm Downloaded 10/14/14 to 50.244.108.113. Redtrbuton ubject to SEG lcene or copyrght; ee Term of Ue at http://lbrary.eg.org/ Elatc full waveform nveron

More information

SYNTHESIS OF SYNCHRONOUS MOTOR SERVO SYSTEM IN MATLAB

SYNTHESIS OF SYNCHRONOUS MOTOR SERVO SYSTEM IN MATLAB SYNTHESIS OF SYNCHRONOUS MOTOR SERVO SYSTEM IN MATLA J. Dúbravký, A. Tchý, M. Dúbravká, J. Pauluová Inttute of Control an Inutral Informatc, Slovak Unverty of Technology, Faculty of Electrcal Engneerng

More information

IEEE C802.16e-04/509r4. STC sub-packet combining with antenna grouping for 3 and 4 transmit antennas in OFDMA

IEEE C802.16e-04/509r4. STC sub-packet combining with antenna grouping for 3 and 4 transmit antennas in OFDMA Project Ttle Date Submtted IEEE 80.6 Broadband Wrele Acce Workng Group STC ub-packet combnng wth antenna groupng for and tranmt antenna n OFDMA 005-0-0 Source Bn-Chul Ihm Yongeok Jn

More information

THE USE OF MATLAB AND SIMULINK AS A TOOL FOR CONTROL SYSTEM DESIGN. Rajesh Rajamani

THE USE OF MATLAB AND SIMULINK AS A TOOL FOR CONTROL SYSTEM DESIGN. Rajesh Rajamani THE USE OF MATLAB AND SIMULINK AS A TOOL FOR CONTROL SYSTEM DESIGN Rajeh Rajaman ME 43 Deartment of Mechancal Engneerng Unerty Of Mnneota OBJECTIVES Lab objecte To learn the ue of Matlab and Smuln a tool

More information

Model Predictive Control of an Active Front End Rectifier with Unity Displacement Factor

Model Predictive Control of an Active Front End Rectifier with Unity Displacement Factor 01 IEEE INTENATIONAL CONFEENCE ON CICUITS AND SYSTEMS Model Predctve Control o an Actve Front End ecter wth Unty Dplacement Factor S. M. Mulem Uddn, Parvez Akter, S. Mekhle and M. Mubn Dept. o Electrcal

More information

Adaptive Modulation and Coding with Cooperative Transmission in MIMO fading Channels Yuling Zhang1, a, Qiuming Ma2, b

Adaptive Modulation and Coding with Cooperative Transmission in MIMO fading Channels Yuling Zhang1, a, Qiuming Ma2, b 4th atonal Conference on Electrcal, Electronc and Computer Engneerng (CEECE 05) Adaptve Modulaton and Codng wth Cooperatve Tranmon n MIMO fadng Channel Yulng Zhang, a, Qumng Ma, b School of Informaton

More information

Journal of Applied Research and Technology ISSN: Centro de Ciencias Aplicadas y Desarrollo Tecnológico.

Journal of Applied Research and Technology ISSN: Centro de Ciencias Aplicadas y Desarrollo Tecnológico. Journal of Appled Reearch and Technology ISSN: 665-643 jart@aleph.cntrum.unam.mx Centro de Cenca Aplcada y Dearrollo Tecnológco Méxco Mar, J.; Wu, S. R.; Wang, Y. T.; Ta, K. C. A Three-Dmenonal Poton Archtecture

More information

Improvement in DGPS Accuracy Using Recurrent S_CMAC_GBF

Improvement in DGPS Accuracy Using Recurrent S_CMAC_GBF World Academy of Scence, Engneerng and Technology 31 9 Improvement n DGPS Accuracy Ung Recurrent S_CMAC_GBF Chng-Tan Chang, Jh-Sheng Hu, and Cha-Yen Heh Abtract GPS ytem offer two knd of ue to peoplean

More information

Digital Transmission

Digital Transmission Dgtal Transmsson Most modern communcaton systems are dgtal, meanng that the transmtted normaton sgnal carres bts and symbols rather than an analog sgnal. The eect o C/N rato ncrease or decrease on dgtal

More information

Chapter Introduction

Chapter Introduction Chapter-6 Performance Analyi of Cuk Converter uing Optimal Controller 6.1 Introduction In thi chapter two control trategie Proportional Integral controller and Linear Quadratic Regulator for a non-iolated

More information

Extreme Learning Machine for Function Approximation Interval Problem of Input Weights and Biases

Extreme Learning Machine for Function Approximation Interval Problem of Input Weights and Biases Etreme earnng Machne or Functon Appromaton Interval Problem o Input Weght and Bae Grzegorz Dudek Department o Electrcal Engneerng Czetochowa Unvert o Technolog 4- Czetochowa, Al. Arm Krajowej 7, Poland

More information

Single-Phase voltage-source inverter TUTORIAL. Single-Phase voltage-source inverter

Single-Phase voltage-source inverter TUTORIAL. Single-Phase voltage-source inverter TUTORIAL SnglePhae oltageource nerter www.powermtech.com Th tutoral ntended to how how SmartCtrl can be appled to degn a generc control ytem. In th cae, a nglephae oltageource nerter wll ere a an example

More information

Hierarchical Structure for function approximation using Radial Basis Function

Hierarchical Structure for function approximation using Radial Basis Function Herarchcal Structure for functon appromaton ung Radal Ba Functon M.Awad, H.Pomare, I.Roja, L.J.Herrera, A.Gullen, O.Valenzuela Department of Computer Archtecture and Computer Technology E.T.S. Ingenería

More information

Effective Coverage and Connectivity Preserving in Wireless Sensor Networks

Effective Coverage and Connectivity Preserving in Wireless Sensor Networks Effectve Coverage and Connectvty Preervng n Wrele Senor Network Nurcan Tezcan Wenye Wang Department of Electrcal and Computer Engneerng North Carolna State Unverty Emal: {ntezcan,wwang}@eo.ncu.edu Abtract

More information

APPLICATION DOMAIN: SENSOR NETWORKS

APPLICATION DOMAIN: SENSOR NETWORKS APPLICATION DOMAIN: SENSOR NETWORKS SENSOR NETWORK AS A CONTROL SYSTEM Know nothng - mut deploy reource how many where - Cooperate but operate autonomouly - Manage Communcaton, Energy Data fuon, buld prob.

More information

EE 215A Fundamentals of Electrical Engineering Lecture Notes Resistive Circuits 10/06/04. Rich Christie

EE 215A Fundamentals of Electrical Engineering Lecture Notes Resistive Circuits 10/06/04. Rich Christie 5A Introducton: EE 5A Fundamental of Electrcal Engneerng Lecture Note etve Crcut 0/06/04 ch Chrte The oluton of crcut wth more than two element need a lttle more theory. Start wth ome defnton: Node pont

More information

Comparative Analysis of Reuse 1 and 3 in Cellular Network Based On SIR Distribution and Rate

Comparative Analysis of Reuse 1 and 3 in Cellular Network Based On SIR Distribution and Rate Comparatve Analyss of Reuse and 3 n ular Network Based On IR Dstrbuton and Rate Chandra Thapa M.Tech. II, DEC V College of Engneerng & Technology R.V.. Nagar, Chttoor-5727, A.P. Inda Emal: chandra2thapa@gmal.com

More information

SEISMIC DESIGN OF HIGH PIERS FOR MOUNTAIN BRIDGES

SEISMIC DESIGN OF HIGH PIERS FOR MOUNTAIN BRIDGES ARPN Journal of Engneerng and Appled Scence www.arpnournal.com SEISMIC DESIGN OF HIGH PIERS FOR MOUNTAIN BRIDGES Qngxang Zheng 1 and Wenhua Lu 2 1 Qufu Normal Unverty, Qufu, Chna 2 Chelb Engneerng Conultant,

More information

Optimal Video Distribution Using Anycasting Service

Optimal Video Distribution Using Anycasting Service Bond Unverty epublcaton@bond Informaton Technology paper Bond Bune School 6--999 Optmal Vdeo Dtrbuton Ung Anycatng Servce Zheng da Wu Bond Unverty, Zheng_Da_Wu@bond.edu.au Chr oble Bond Unverty Dawe Huang

More information

Position Control of a Large Antenna System

Position Control of a Large Antenna System Poition Control of a Large Antenna Sytem uldip S. Rattan Department of Electrical Engineering Wright State Univerity Dayton, OH 45435 krattan@c.wright.edu ABSTRACT Thi report decribe the deign of a poition

More information

INFLUENCE OF TCSC FACTS DEVICE ON STEADY STATE VOLTAGE STABILITY

INFLUENCE OF TCSC FACTS DEVICE ON STEADY STATE VOLTAGE STABILITY INFLUENCE OF TCSC FACTS DEVICE ON STEADY STATE VOLTAGE STABILITY GABER EL-SAADY, 2 MOHAMED A. A. WAHAB, 3 MOHAMED M. HAMADA, 4 M. F. BASHEER Electrcal Engneerng Department Aut Unverty, Aut, Egypt 2, 3&4

More information

Analysis. Control of a dierential-wheeled robot. Part I. 1 Dierential Wheeled Robots. Ond ej Stan k

Analysis. Control of a dierential-wheeled robot. Part I. 1 Dierential Wheeled Robots. Ond ej Stan k Control of a dierential-wheeled robot Ond ej Stan k 2013-07-17 www.otan.cz SRH Hochchule Heidelberg, Mater IT, Advanced Control Engineering project Abtract Thi project for the Advanced Control Engineering

More information

Queen Bee genetic optimization of an heuristic based fuzzy control scheme for a mobile robot 1

Queen Bee genetic optimization of an heuristic based fuzzy control scheme for a mobile robot 1 Queen Bee genetc optmzaton of an heurstc based fuzzy control scheme for a moble robot 1 Rodrgo A. Carrasco Schmdt Pontfca Unversdad Católca de Chle Abstract Ths work presents both a novel control scheme

More information

Section 5. Signal Conditioning and Data Analysis

Section 5. Signal Conditioning and Data Analysis Secton 5 Sgnal Condtonng and Data Analyss 6/27/2017 Engneerng Measurements 5 1 Common Input Sgnals 6/27/2017 Engneerng Measurements 5 2 1 Analog vs. Dgtal Sgnals 6/27/2017 Engneerng Measurements 5 3 Current

More information

Performance Improvement of Harmonic Detection using Synchronous Reference Frame Method

Performance Improvement of Harmonic Detection using Synchronous Reference Frame Method Latet Tren on rt, Sytem an Sgnal Performance Improvement of Harmonc Detecton ung Synchronou eference rame Metho P. Santprapan an K-L. Areerak* Abtract Th paper preent the performance mprovement of harmonc

More information

Scalable, Distributed, Dynamic Resource Management for the ARMS Distributed Real-Time Embedded System

Scalable, Distributed, Dynamic Resource Management for the ARMS Distributed Real-Time Embedded System Scalable, Dtrbuted, Dynamc Reource Management for the ARMS Dtrbuted Real-Tme Embedded Sytem Kurt Rohloff, Yarom Gabay, Janmng Ye and Rchard Schantz BBN Technologe Cambrdge, MA, 02138 USA {krohloff, ygabay,

More information

IN CONTRAST to traditional wireless cellular networks

IN CONTRAST to traditional wireless cellular networks IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 56, NO. 2, MARCH 2007 801 Jont Opportuntc Power Schedulng and End-to-End Rate Control for Wrele Ad Hoc Network Jang-Won Lee, Member, IEEE, Rav R. Mazumdar,

More information

Priority based Dynamic Multiple Robot Path Planning

Priority based Dynamic Multiple Robot Path Planning 2nd Internatonal Conference on Autonomous obots and Agents Prorty based Dynamc Multple obot Path Plannng Abstract Taxong Zheng Department of Automaton Chongqng Unversty of Post and Telecommuncaton, Chna

More information

Op-amp, A/D-D/A converters and Compensator Emulation

Op-amp, A/D-D/A converters and Compensator Emulation EE35L CONTROL SYSTEMS LABORATORY Purpoe Opamp, A/DD/A converter and Compenator Emulaton The objectve o th eon are To learn the bac ampler crcut or typcal phaelead and phaelag compenator and degn a typcal

More information

Florida State University Libraries

Florida State University Libraries Florda State Unverty Lbrare Electronc Thee, Treate and Dertaton The Graduate School 3 Advanced Iolated B-Drectonal DC- DC Converter Technology for Smart Grd Applcaton Xaohu Lu Follow th and addtonal work

More information

A Multi Objective Hybrid Differential Evolution Algorithm assisted Genetic Algorithm Approach for Optimal Reactive Power and Voltage Control

A Multi Objective Hybrid Differential Evolution Algorithm assisted Genetic Algorithm Approach for Optimal Reactive Power and Voltage Control D.Godwn Immanuel et al. / Internatonal Journal of Engneerng and Technology (IJET) A Mult Obectve Hybrd Dfferental Evoluton Algorthm ated Genetc Algorthm Approach for Optmal Reactve Power and oltage Control

More information

Adaptive Hysteresis Band Current Control for Transformerless Single-Phase PV Inverters

Adaptive Hysteresis Band Current Control for Transformerless Single-Phase PV Inverters Adaptve Hytere Band Current Control for Tranformerle Sngle-Phae Inverter Gerardo Vázquez, Pedro Rodrguez Techncal Unverty of Catalona Department of Electrcal Engneerng Barcelona SPAIN gerardo.vazquez@upc.edu

More information

Introduction to Switched-Mode Converter Modeling using MATLAB/Simulink

Introduction to Switched-Mode Converter Modeling using MATLAB/Simulink Introduton to Swthed-Mode Conerter Modelng ung MATLAB/Smulnk MATLAB: programmng and rptng enronment Smulnk: blok-dagram modelng enronment nde MATLAB Motaton: But*: Powerful enronment for ytem modelng and

More information

Integrated Control Chart System: A New Charting Technique

Integrated Control Chart System: A New Charting Technique Proceedng of the 202 Internatonal Conference on Indutral Engneerng and Operaton Management Itanbul, Turkey, July 3 6, 202 Integrated Control Chart Sytem: A New Chartng Technque M. Shamuzzaman Department

More information

Fractional Order PID Controller Tuning by Frequency Loop-Shaping: Analysis and Applications

Fractional Order PID Controller Tuning by Frequency Loop-Shaping: Analysis and Applications Fractonal Order PID ontroller Tunng by Frequency oop-shapng: Analy and Applcaton hald Saleh 1, Mohammad T. Haweel,* Department of Electrcal Engneerng, Shaqra Unverty, P.O. 11911, Dawadm, Ar Ryadh, SA.

More information

Control of Chaos in Positive Output Luo Converter by means of Time Delay Feedback

Control of Chaos in Positive Output Luo Converter by means of Time Delay Feedback Control of Chaos n Postve Output Luo Converter by means of Tme Delay Feedback Nagulapat nkran.ped@gmal.com Abstract Faster development n Dc to Dc converter technques are undergong very drastc changes due

More information

Frequency Calibration of A/D Converter in Software GPS Receivers

Frequency Calibration of A/D Converter in Software GPS Receivers Frequency Calibration of A/D Converter in Software GPS Receiver L. L. Liou, D. M. Lin, J. B. Tui J. Schamu Senor Directorate Air Force Reearch Laboratory Abtract--- Thi paper preent a oftware-baed method

More information

Modeling and Control of a Cascaded Boost Converter for a Battery Electric Vehicle

Modeling and Control of a Cascaded Boost Converter for a Battery Electric Vehicle Modelng and Control of a Cascaded Boost Converter for a Battery Electrc Vehcle A. Ndtoungou, Ab. Hamad, A. Mssandaand K. Al-Haddad, Fellow member, IEEE EPEC 202 OCTOBER 0-2 Introducton contents Comparson

More information

In TCM it is easier to deal with {-1,+1} than {0,1} initially.

In TCM it is easier to deal with {-1,+1} than {0,1} initially. Repreentation or TCM Ungeroec repreentation: (conidered earlier A inary convolutional encoder A modulator part. Analytical repreentation: The eect o the trelli encoder i to tranorm a equence o input ymol

More information

Nonlinear Friction Compensator Design for Mechatronics Servo Systems Using Neural Network

Nonlinear Friction Compensator Design for Mechatronics Servo Systems Using Neural Network Tranacton on Control, Automaton, an Sytem Engneerng Vol. 3, No., June, 1 111 Nonlnear Frcton Compenator Degn for Mechatronc Servo Sytem Ung Neural Network Dae-Won Chung, Nobuhro Kyura, an Hromu Gotana

More information

Active vibration isolation for a 6 degree of freedom scale model of a high precision machine

Active vibration isolation for a 6 degree of freedom scale model of a high precision machine Active vibration iolation for a 6 degree of freedom cale model of a high preciion machine W.B.A. Boomma Supervior Report nr : Prof. Dr. Ir. M. Steinbuch : DCT 8. Eindhoven Univerity of Technology Department

More information

Modeling, Analysis, and Realization of Permanent Magnet Synchronous Motor Current Vector Control by MATLAB/Simulink and FPGA

Modeling, Analysis, and Realization of Permanent Magnet Synchronous Motor Current Vector Control by MATLAB/Simulink and FPGA machne Artcle Modelng, Analy, and Realzaton of Permanent Magnet Synchronou Motor Current Vector Control by MATLAB/Smulnk and FPGA Chu-Keng La, Yao-Tng Tao and Cha-Che Ta Department of Electrcal Engneerng,

More information

Lab 7 Rev. 2 Open Lab Due COB Friday April 27, 2018

Lab 7 Rev. 2 Open Lab Due COB Friday April 27, 2018 EE314 Sytem Spring Semeter 2018 College of Engineering Prof. C.R. Tolle South Dakota School of Mine & Technology Lab 7 Rev. 2 Open Lab Due COB Friday April 27, 2018 In a prior lab, we et up the baic hardware

More information

Geometric Algorithm for Received Signal Strength Based Mobile Positioning

Geometric Algorithm for Received Signal Strength Based Mobile Positioning RADIOENGINEERING, VOL. 4, NO., JUNE 005 Geometrc Algorthm for Receved Sgnal Strength Baed Moble Potonng Peter BRÍDA, Peter ČEPEL, Ján DÚHA Dept. of Telecommuncaton, Unverty of Žlna, Unverztná 85/, 00 6

More information

Gemini. The errors from the servo system are considered as the superposition of three things:

Gemini. The errors from the servo system are considered as the superposition of three things: Gemini Mount Control Sytem Report Prediction Of Servo Error Uing Simulink Model Gemini 9 July 1996 MCSJDW (Iue 3) - Decribe the proce of etimating the performance of the main axi ervo uing the non-linear

More information

Industrial Robots used in Forges Applications

Industrial Robots used in Forges Applications Industral Robots used n Forges Applcatons Lvu Cuptu, Ivanescu Andre Nck 2 and Sorn Brotac 3 Department of Mechancal Engneerng and Mechatroncs, Poltehnca Unversty of Bucharest, Romana E-mal: lvu.cuptu@omtr.pub.ro

More information

Comparison between PI and PR Current Controllers in Grid Connected PV Inverters

Comparison between PI and PR Current Controllers in Grid Connected PV Inverters World Academy o Scence, Enneern and Technoloy nternatonal Journal o Electrcal and Computer Enneern Vol:, No:, Comparon between P and PR Current Controller n rd Connected PV nverter D. Zammt, C. Spter Stane,

More information

Model Optimization Identification Method Based on Closed-loop Operation Data and Process Characteristics Parameters

Model Optimization Identification Method Based on Closed-loop Operation Data and Process Characteristics Parameters Senor & Tranducer 204 by IFSA Publhng, S. L. http://www.enorportal.com Model Optmzaton Identfcaton Method Baed on Cloed-loop Operaton Data and Proce Charactertc Parameter Zhqang GENG, Runxue LI, 2 Xangba

More information

GAUSSIAN KERNEL CONTROLLER FOR PATH TRACKING IN MOBILE ROBOTS

GAUSSIAN KERNEL CONTROLLER FOR PATH TRACKING IN MOBILE ROBOTS Proceedngs o the ASME 2018 Internatonal Desgn Engneerng Techncal Conerences and Computers and Inormaton n Engneerng Conerence IDETC/CIE 2018 August 26-29, 2018, Quebec Cty, Quebec, Canada DETC2018-85641

More information

CONTROL SYSTEM SOLUTION TO NETWORK CONGESTION: A MODIFIED PID METHOD

CONTROL SYSTEM SOLUTION TO NETWORK CONGESTION: A MODIFIED PID METHOD Control 4, Unverty of Ba, UK, September 4 ID-89 COTROL SYSTEM SOLUTIO TO ETWORK COGESTIO: A MODIFIED PID METHOD K. H. Wong, L Tan and S.H.Yang Computer Scence Department, Loughborough Unverty, UK Computer

More information

Coordination Algorithms for Motion-Enabled Sensor Networks. Outline. Incomplete state of the art. Incomplete state of the art: cont d

Coordination Algorithms for Motion-Enabled Sensor Networks. Outline. Incomplete state of the art. Incomplete state of the art: cont d Coordnaton Algorthm for Moton-Enabled Senor Network Outlne CDC Workhop Pont-Stablzaton, Trajectory-Trackng, Path-Followng, and Formaton Control of Autonomou Vehcle San Dego, Dec 12, 2006 Franceco Bullo

More information

Cooperative localization method for multi-robot based on PF-EKF

Cooperative localization method for multi-robot based on PF-EKF Scence n Chna Seres F: Informaton Scences 008 SCIENCE IN CHINA PRESS Sprnger www.scchna.com nfo.scchna.com www.sprngerln.com Cooperatve localzaton method for mult-robot based on PF-EKF WANG Lng, WAN JanWe,

More information

Resonance Analysis in Parallel Voltage-Controlled Distributed Generation Inverters

Resonance Analysis in Parallel Voltage-Controlled Distributed Generation Inverters Reonance Analy n Parallel Voltage-Controlled Dtrbuted Generaton Inverter Xongfe Wang Frede Blaabjerg and Zhe Chen Department of Energy Technology Aalborg Unverty Pontoppdantraede 11 922 Aalborg Denmark

More information

Active C Simulated RLC resonator

Active C Simulated RLC resonator 0 nternatonal onference on rcut, Sytem and Smulaton PST vol.7 (0) (0) AST Pre, Snapore Actve Smulated L reonator Abdul Qadr Department of Electronc Enneern NED Unverty of Enneern and Technoloy Karach,

More information

Dynamic constraint generation in HASTUS-CrewOpt, a column generation approach for transit crew scheduling

Dynamic constraint generation in HASTUS-CrewOpt, a column generation approach for transit crew scheduling Dynamc contrant generaton n HASTUS-CrewOpt, a column generaton approach for trant crew chedulng By Alan Dallare, Charle Fleurent, and Jean-Marc Roueau Introducton Trant crew chedulng a challengng practcal

More information

Geometric Algorithm for Received Signal Strength Based Mobile Positioning

Geometric Algorithm for Received Signal Strength Based Mobile Positioning RADIOENGINEERING, VOL. 4, NO., APRIL 005 Geometrc Algorthm for Receved Sgnal Strength Baed Moble Potonng Peter Brída, Peter Čepel, Ján Dúha 3,, 3 Dept. of Telecommuncaton, Unverty of Žlna, Unverztná 85/,

More information

Regular paper. PM Synchronous Motor Drive System for Automotive Applications

Regular paper. PM Synchronous Motor Drive System for Automotive Applications A. El Shahat H. El Shewy J. Electrcal Sytem 6- (00): x-xx Regular paper PM Synchronou Motor Dre Sytem for Automote Applcaton In th paper, a feld orented controlled PM motor dre ytem decrbed and analyzed

More information

Reliability and Quality Improvement of Robotic Manipulation Systems

Reliability and Quality Improvement of Robotic Manipulation Systems Yaser Maddah, Al Maddah Relablty and Qualty Improvement of Robotc Manpulaton Systems Yaser Maddah Department of Mechancal and Manufacturng Engneerng Unversty of Mantoba Wnnpeg, MB R3T 5V6 CANADA Al Maddah

More information

Improved single-phase PLL structure with DC-SOGI block on FPGA board implementation

Improved single-phase PLL structure with DC-SOGI block on FPGA board implementation Orgnal reearch paper UDC 004.738.5:6.38 DOI 0.75/IJEEC70053R COBISS.RS-ID 79708 Improved ngle-phae PLL tructure wth DC-SOGI block on FPGA board mplementaton Mlca Rtovć Krtć, Slobodan Lubura, Tatjana Nkolć

More information

A moving sound source localization method based on TDOA

A moving sound source localization method based on TDOA A moving ound ource localization method baed on TDOA Feng MIAO; Diange YANG ; Ruia WANG; Junie WEN; Ziteng WANG; Xiaomin LIAN Tinghua Univerity, China ABSTRACT The Time Difference of Arrival (TDOA) method

More information

Bit Error Probability of Cooperative Diversity for M-ary QAM OFDM-based system with Best Relay Selection

Bit Error Probability of Cooperative Diversity for M-ary QAM OFDM-based system with Best Relay Selection 011 Internatonal Conerence on Inormaton and Electroncs Engneerng IPCSIT vol.6 (011) (011) IACSIT Press, Sngapore Bt Error Proalty o Cooperatve Dversty or M-ary QAM OFDM-ased system wth Best Relay Selecton

More information

Control of Electromechanical Systems using Sliding Mode Techniques

Control of Electromechanical Systems using Sliding Mode Techniques Proceeding of the 44th IEEE Conference on Deciion and Control, and the European Control Conference 25 Seville, Spain, December 2-5, 25 MoC7. Control of Electromechanical Sytem uing Sliding Mode Technique

More information

Control Allocation with Dynamic Weight Scheduling for Two-task Integrated Vehicle Control

Control Allocation with Dynamic Weight Scheduling for Two-task Integrated Vehicle Control AVEC Control Allocaton wth Dynamc Weght Schedulng or Two-task ntegrated Vehcle Control Barys Shyrokau and Danwe Wang EXQUSTUS, Centre or E-Cty, Nanyang Technologcal Unversty Nanyang Avenue, S-B-,, SNGAPORE

More information

Produced in cooperation with. Revision: May 26, Overview

Produced in cooperation with. Revision: May 26, Overview Lab Aignment 6: Tranfer Function Analyi Reviion: May 6, 007 Produced in cooperation with www.digilentinc.com Overview In thi lab, we will employ tranfer function to determine the frequency repone and tranient

More information

Anti-windup Robust Controller Considering Saturation of Current and Speed for Speed Servo System

Anti-windup Robust Controller Considering Saturation of Current and Speed for Speed Servo System International Journal of Engineering Reearch & Technology (IJERT) Vol. 3 Iue 7, July - 24 Anti-windup Robut Controller Conidering Saturation of Current and Speed for Speed Servo Sytem D. Balachandra K.

More information

Velocity Propagation Between Robot Links 3/4

Velocity Propagation Between Robot Links 3/4 eloty Propagaton etween obot nk / Intrutor: Jaob oen daned obot - ME 6D - Department of Mehanal & eropae Engneerng - UC Introduton eloty Propagaton Intrutor: Jaob oen daned obot - ME 6D - Department of

More information

Dynamic Modeling and Optimum Load Control of a PM Linear Generator for Ocean Wave Energy Harvesting Application

Dynamic Modeling and Optimum Load Control of a PM Linear Generator for Ocean Wave Energy Harvesting Application Dynamc Modelng and Optmum Load Control o a PM Lnear Generator or Ocean Wave Energy Harvestng Applcaton Haoe Luan, Omer C. Onar, and Alreza Khalgh Energy Harvestng and enewable Energes Laboratory, Electrc

More information

Power Conservation Approaches to the Border Coverage Problem in Wireless Sensor Networks

Power Conservation Approaches to the Border Coverage Problem in Wireless Sensor Networks Power Conervaton Approache to the Border Coverage Problem n Wrele Senor Network Mohamed K. Watfa** and Seh Commur Abtract- Recent advance n wrele communcaton and electronc have enabled the development

More information

Aalborg Universitet. Published in: I E E E Transactions on Power Electronics. DOI (link to publication from Publisher): /TPEL.2016.

Aalborg Universitet. Published in: I E E E Transactions on Power Electronics. DOI (link to publication from Publisher): /TPEL.2016. Aalborg Unvertet Revew of Actve and Reactve Power Sharng Stratege n Herarchcal Controlled Mcrogrd Han, Yang; L, Hong; Shen, Pan; Coelho, Ernane A. A.; Guerrero, Joep M. Publhed n: I E E E Tranacton on

More information

Review of Active and Reactive Power Sharing Strategies in Hierarchical Controlled Microgrids

Review of Active and Reactive Power Sharing Strategies in Hierarchical Controlled Microgrids Th artcle ha been accepted for publcaton n a future ue of th journal, but ha not been fully edted. Content may change pror to fnal publcaton. Ctaton nformaton: DOI 0.09/TPL.06.569597, I Tranacton on Power

More information

Simon B. Nawrot ATNF vacation student February 2003

Simon B. Nawrot ATNF vacation student February 2003 Degn and Contructon of a Slotted Coaxal Balun and the Development of a Method to Determne Noe Temperature of LNA wth Non Standard Input Impedance. Smon B. Nawrot ATNF vacaton tudent February 3 Abtract

More information

Sensors for Motion and Position Measurement

Sensors for Motion and Position Measurement Sensors for Moton and Poston Measurement Introducton An ntegrated manufacturng envronment conssts of 5 elements:- - Machne tools - Inspecton devces - Materal handlng devces - Packagng machnes - Area where

More information

To: Professor Avitabile Date: February 4, 2003 From: Mechanical Student Subject: Experiment #1 Numerical Methods Using Excel

To: Professor Avitabile Date: February 4, 2003 From: Mechanical Student Subject: Experiment #1 Numerical Methods Using Excel To: Professor Avtable Date: February 4, 3 From: Mechancal Student Subject:.3 Experment # Numercal Methods Usng Excel Introducton Mcrosoft Excel s a spreadsheet program that can be used for data analyss,

More information

CPS Compliant Fuzzy Neural Network Load Frequency Control

CPS Compliant Fuzzy Neural Network Load Frequency Control 009 Amercan Control Conference Hyatt Regency Rverfront, St. Lou, MO, USA June -1, 009 hb03. CPS Complant Fuzzy Neural Network Load Frequency Control X.J. Lu and J.W. Zhang Abtract Power ytem are characterzed

More information

Figure.1. Basic model of an impedance source converter JCHPS Special Issue 12: August Page 13

Figure.1. Basic model of an impedance source converter JCHPS Special Issue 12: August Page 13 A Hgh Gan DC - DC Converter wth Soft Swtchng and Power actor Correcton for Renewable Energy Applcaton T. Selvakumaran* and. Svachdambaranathan Department of EEE, Sathyabama Unversty, Chenna, Inda. *Correspondng

More information

The Depth Information Estimation of Microscope Defocus Image Based-on Markov Random Field

The Depth Information Estimation of Microscope Defocus Image Based-on Markov Random Field The Depth Informaton Etmaton of Mcrocope Defocu Image Baed-on Markov Random Feld Xangjn Zeng, Xnhan Huang, Mn Wang,Peng L Department of Control Scence and Engneerng The Key Lab of Image proceng and Intellgence

More information

An addressing technique for displaying restricted patterns in rms-responding LCDs by selecting a few rows at a time

An addressing technique for displaying restricted patterns in rms-responding LCDs by selecting a few rows at a time An addreng technue for dplayng retrcted pattern n rm-repondng LCD by electng a few row at a tme K. G. Pan Kumar T. N. Ruckmongathan Abtract An addreng technue that wll allow rm-repondng matrx LCD to dplay

More information

IEE Electronics Letters, vol 34, no 17, August 1998, pp ESTIMATING STARTING POINT OF CONDUCTION OF CMOS GATES

IEE Electronics Letters, vol 34, no 17, August 1998, pp ESTIMATING STARTING POINT OF CONDUCTION OF CMOS GATES IEE Electroncs Letters, vol 34, no 17, August 1998, pp. 1622-1624. ESTIMATING STARTING POINT OF CONDUCTION OF CMOS GATES A. Chatzgeorgou, S. Nkolads 1 and I. Tsoukalas Computer Scence Department, 1 Department

More information

PERFORMANCE EVALUATION ON THE BASIS OF BIT ERROR RATE FOR DIFFERENT ORDER OF MODULATION AND DIFFERENT LENGTH OF SUBCHANNELS IN OFDM SYSTEM

PERFORMANCE EVALUATION ON THE BASIS OF BIT ERROR RATE FOR DIFFERENT ORDER OF MODULATION AND DIFFERENT LENGTH OF SUBCHANNELS IN OFDM SYSTEM PERFORMANCE EVALUATION ON THE BASIS OF BIT ERROR RATE FOR DIFFERENT ORDER OF MODULATION AND DIFFERENT LENGTH OF SUBCHANNELS IN OFDM SYSTEM ABSTRACT Sutanu Ghoh Department of Electronc and Communcaton Engneerng

More information

Basic Study of Radial Distributions of Electromagnetic Vibration and Noise in Three-Phase Squirrel-Cage Induction Motor under Load Conditions

Basic Study of Radial Distributions of Electromagnetic Vibration and Noise in Three-Phase Squirrel-Cage Induction Motor under Load Conditions http://dx.doi.org/0.42/jicem.203.2.2.54 54 Journal of International Conference on Electrical Machine and Sytem Vol. 2, No. 2, pp. 54 ~58, 203 Baic Study of Radial Ditribution of Electromagnetic Vibration

More information

A Neurofuzzy Algorithm-Based Advanced Bilateral Controller for Telerobot Systems

A Neurofuzzy Algorithm-Based Advanced Bilateral Controller for Telerobot Systems ICASE: he Insttute o Control, Automaton and Systems Engneers, KOREA Vol., No., March, A Neurouzzy Algorthm-Based Advanced Blateral Controller or elerobot Systems Dong-hyu Cha and Hyung Suc Cho Abstract:

More information

Recognition of OFDM Modulation Method

Recognition of OFDM Modulation Method K. ULOVEC, RECOGITIO O ODM MODULTIO METHOD Recognton o ODM Modulaton Method Karel ULOVEC Department o Rado Engneerng, Czech Techncal Unverty, Techncká, 66 7 Prague, Czech Republc xulovec@el.cvut.cz btract.

More information

Tuned Sloshing Damper in Response Control of Tall Building Structure

Tuned Sloshing Damper in Response Control of Tall Building Structure Publhed Onlne on 9 June 016 Proc Indan Natn Sc Acad 8 No. June Spl Iue 016 pp. 3-31 Prnted n Inda. DOI: 10.16943/ptna/016/48415 Reearch Paper Tuned Slohng Damper n Repone Control of Tall Buldng Structure

More information

Research on Real-time Multi-rate Simulation of High Frequency Converter

Research on Real-time Multi-rate Simulation of High Frequency Converter International Forum on Energy, Environment Science and Material (IFEESM 215) Reearch on Real-time Multi-rate Simulation o High Frequency Converter ZhiGuo ZHOU1, a*, MingXin ZHANG1,b RuLiang Lin2,c and

More information

Kalman Filtering Based Object Tracking in Surveillance Video System

Kalman Filtering Based Object Tracking in Surveillance Video System (669 -- 917) Proceeding of the 3rd (2011) CUSE International Conference Kalman Filtering Baed Object racking in Surveillance Video Sytem W.L. Khong, W.Y. Kow, H.. an, H.P. Yoong, K..K. eo Modelling, Simulation

More information

Previous lecture. Lecture 5 Control of DVD reader. TheDVD-reader tracking problem. Can you see the laser spot?

Previous lecture. Lecture 5 Control of DVD reader. TheDVD-reader tracking problem. Can you see the laser spot? Lecture 5 Control of DVD reader Previou lecture Focu control Radial control (Track following) Lecture 4: Specification in frequency domain Loop haping deign Problem formulation Modeling Specification Focu

More information

COMPARATIVE PERFORMANCE ANALYSIS OF SYMBOL TIMING RECOVERY FOR DVB-S2 RECEIVERS

COMPARATIVE PERFORMANCE ANALYSIS OF SYMBOL TIMING RECOVERY FOR DVB-S2 RECEIVERS COMPARATIVE PERFORMANCE ANALYSIS OF SYMBOL TIMING RECOVERY FOR DVB-S RECEIVERS Panayot Savvopoulo, Unverty of Patra, Department of Electrcal and Computer Engneerng, 6500 Patra, Greece, Phone: 30-610-996483,

More information

The Smith-PID Control of Three-Tank-System Based on Fuzzy Theory

The Smith-PID Control of Three-Tank-System Based on Fuzzy Theory 54 JOURNAL OF COMPUTERS, VOL. 6, NO., MARCH The Smth-PID Control of Three-Tank-Sytem Baed on Fuzzy Theory Janqu Deng Tnghua Unverty/ School of Automaton, Bejng, Chna Naval Aeronautcal Engneerng Inttue,Shandong,

More information

Skiing robot - design, control, and navigation in unstructured environment Leon Lahajnar, Andrej Kos and Bojan Nemec

Skiing robot - design, control, and navigation in unstructured environment Leon Lahajnar, Andrej Kos and Bojan Nemec Robotca (2009) volume 27, pp. 567 577. 2008 Cambrdge Unversty Press do:10.1017/s0263574708004955 Prnted n the Unted Kngdom Skng robot - desgn, control, and navgaton n unstructured envronment Leon Lahajnar,

More information

PRACTICAL, COMPUTATION EFFICIENT HIGH-ORDER NEURAL NETWORK FOR ROTATION AND SHIFT INVARIANT PATTERN RECOGNITION. Evgeny Artyomov and Orly Yadid-Pecht

PRACTICAL, COMPUTATION EFFICIENT HIGH-ORDER NEURAL NETWORK FOR ROTATION AND SHIFT INVARIANT PATTERN RECOGNITION. Evgeny Artyomov and Orly Yadid-Pecht 68 Internatonal Journal "Informaton Theores & Applcatons" Vol.11 PRACTICAL, COMPUTATION EFFICIENT HIGH-ORDER NEURAL NETWORK FOR ROTATION AND SHIFT INVARIANT PATTERN RECOGNITION Evgeny Artyomov and Orly

More information

Target Response Adaptation for Correlation Filter Tracking

Target Response Adaptation for Correlation Filter Tracking Target Response Adaptaton for Correlaton Flter Tracng Adel Bb, Matthas Mueller, and Bernard Ghanem Image and Vdeo Understandng Laboratory IVUL, Kng Abdullah Unversty of Scence and Technology KAUST, Saud

More information

Comparison Study in Various Controllers in Single-Phase Inverters

Comparison Study in Various Controllers in Single-Phase Inverters Proceeding of 2010 IEEE Student Conference on Reearch and Development (SCOReD 2010), 13-14 Dec 2010, Putrajaya, Malayia Comparion Study in ariou Controller in Single-Phae Inverter Shamul Aizam Zulkifli

More information

SIMULINK for Process Control

SIMULINK for Process Control SIMULINK for Proce Control Simulink for Control MATLAB, which tand for MATrix LABoratory, i a technical computing environment for high-performance numeric computation and viualization. SIMULINK i a part

More information

ECE315 / ECE515 Lecture 5 Date:

ECE315 / ECE515 Lecture 5 Date: Lecture 5 Date: 18.08.2016 Common Source Amplfer MOSFET Amplfer Dstorton Example 1 One Realstc CS Amplfer Crcut: C c1 : Couplng Capactor serves as perfect short crcut at all sgnal frequences whle blockng

More information

Phase-Locked Loops (PLL)

Phase-Locked Loops (PLL) Phae-Locked Loop (PLL) Recommended Text: Gray, P.R. & Meyer. R.G., Analyi and Deign of Analog Integrated Circuit (3 rd Edition), Wiley (992) pp. 68-698 Introduction The phae-locked loop concept wa firt

More information