A Simple Direct-Torque Neuro-Fuzzy Control of PWM-Inverter-Fed Induction Motor Drive
|
|
- Dorothy Stokes
- 6 years ago
- Views:
Transcription
1 IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 47, NO. 4, AUGUST A Simple Direct-Torque Neuro-Fuzzy Control of PWM-Inverter-Fed Induction Motor Drive Pawel Z. Grabowski, Associate Member, IEEE, Marian P. Kazmierkowski, Fellow, IEEE, Bimal K. Bose, Life Fellow, IEEE, and Frede Blaabjerg, Senior Member, IEEE Abstract In this paper, the concept and implementation of a new simple direct-torque neuro-fuzzy control (DTNFC) scheme for pulsewidth-modulation-inverter-fed induction motor drive are presented. An adaptive neuro-fuzzy inference system is applied to achieve high-performance decoupled flux and torque control. The theoretical principle and tuning procedure of this method are discussed. A 3-kW induction motor experimental system with digital signal processor TMS 320C31 based controller has been built to verify this approach. The simulation and laboratory experimental results, which illustrate the performance of the proposed scheme, are presented. Also, nomograms for controller design are given. It has been shown that the simple DTNFC is characterized by very fast torque and flux response, very-low-speed operation, and simple tuning capability. Index Terms Direct torque control, induction motor control, neuro-fuzzy control, voltage-source pulsewidth modulation inverters. I. INTRODUCTION ADVANCED speed control of a pulsewidth-modulation (PWM)-inverter-fed drive, based on direct torque control (DTC), is receiving wide attention in the recent literature [1] [4], [9] [10], [14] [16]. Fig. 1 shows two system configurations for the DTC-controlled induction motor drive. Both systems use stator flux vector and torque estimators on a PWM-inverter-fed drive. The stator flux amplitude and the electromagnetic torque are the command signals which are compared with the estimated and values respectively, giving instantaneous flux error and torque error,as shown in the figure. In the conventional scheme [Fig. 1] [14], the and signals are delivered to two hysteresis comparators. The corresponding digitized output variables and the stator flux position sector create a digital word, which selects the appropriate voltage vector from the switching table. Thus, the selection table generates pulses to control the power switches in the inverter. Among the well-known disadvantages of the DTC scheme are the following [1], [3], [9], [10], [16]: Manuscript received July 19, 1999; revised May 20, Abstract published on the Internet April 21, P. Z. Grabowski was with the Institute of Control and Industrial Electronics, Warsaw University of Technology, Warsaw , Poland. He is now with Schneider Electric Poland Ltd., Warsaw, Poland. M. P. Kazmierkowski is with the Institute of Control and Industrial Electronics, Warsaw University of Technology, Warsaw , Poland. B. K. Bose is with the Department of Electrical Engineering, University of Tennessee, Knoxville, TN USA. F. Blaabjerg is with the Institute of Energy Technology, Aalborg University, Aalborg East 9220, Denmark. Publisher Item Identifier S (00) Fig. 1. Comparison between two schemes of DTC of transistor PWM-inverter-fed induction motor drive. Conventional scheme with hysteresis controllers and switching selection table [14]. Proposed scheme with neuro-fuzzy (NF) controller and voltage modulator. variable switching frequency; violence of polarity consistency rules; current and torque distortion caused by sector changes; start and low-speed operation problems; high sampling frequency needed for digital implementation of hysteresis comparators. All the above difficulties can be eliminated when, instead of the selection table, a voltage modulator is applied. In the reference [7], a voltage space vector is calculated from the torque and flux errors in a deadbeat fashion. However, such approach is computationally intensive and motor parameter sensitive. In this paper, a new controller based on an adaptive NF inference system (ANFIS) [11] [13] for voltage space-vector generation is proposed. This controller combines fuzzy logic and artificial neural networks for decoupled flux and torque control /00$ IEEE
2 864 IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 47, NO. 4, AUGUST 2000 Fig. 4. Triangular membership function sets. Fig. 2. Two-input NF controller structure. TABLE I REFERENCE VOLTAGE INCREMENT ANGLE TABLE vector. The NF controller determinates the stator voltage command vector in polar coordinates for the voltage modulator, which finally generates the pulses to control the inverter. Fig. 3. DTNFC. Block scheme. NFC. In the proposed scheme, shown in Fig. 1, the error signals and are delivered to the NF controller, which also uses information on the position ( ) of the actual stator flux II. DIRECT-TORQUE NEURO-FUZZY CONTROLLER (DTNFC) SCHEME Combining both fuzzy logic and artificial neural networks allows achieving all of the advantages of both systems. Human expert knowledge can be used to build the initial structure of the regulator. Online or offline learning processes can improve underdone parts of the structure. The ANFIS structure [11], [13] is one of the proposed methods to combine fuzzy logic and artificial neural networks. An NF inference system is the same as a conventional fuzzy structure shown in Fig. 2. It contains rule base and database (knowledge base), fuzzyfication and defuzzyfication unit as well as a decision-making unit. The structure proposed in [11] [13] (Fig. 2) contain five network layers: Layer 1: Every node in this layer contains membership functions. Usually, triangular or bell-shaped functions are chosen. Layer 2: This layer chooses the minimum value of two input weights. Layer 3: Every node of these layers calculates the weight which is normalized. Layer 4: This layer includes linear functions which are functions of the input signals. Layer 5: This layer sums all the incoming signals. The ANFIS structure has been tuned automatically by a least-square estimation (for output membership functions) and
3 GRABOWSKI et al.: DTNFC OF PWM INVERTER-FED INDUCTION MOTOR DRIVE 865 Fig. 5. Reference voltage calculation (only three out of four v nonzero vectors are shown). Fig. 7. Torque and flux error tuning surfaces. Sampled flux error and torque error, multiplied by respective weights and, are delivered to the three membership functions in both inputs. To simplify the digital signal processor (DSP) calculations, the functions are triangular shaped as shown in Fig. 4. This is the first layer of the NF structure. The second layer calculates the minimum of the input signals shown in Fig. 3. The output values are normalized in the third layer, to satisfy the following relation: (1) Fig. 6. Stator flux vector estimator. Top: voltage model working with Cartesian coordinates; middle: voltage model working with polar coordinates; bottom: improved integration algorithm with limiter in flux amplitude feedback. a backpropagation (for output and input membership functions) algorithms. Because of its flexibility, the ANFIS system can be used for a wide range of control tasks [11] [13], [16]. The block scheme of the proposed self-tuned direct torque neuro-fuzzy controller (DTNFC) for a voltage-source PWM-inverter-fed induction motor is presented in Fig. 3. The internal structure of the NFC is shown in Fig. 3. where is the third layer th output signal, and is the second layer output weight. The is the weight of th component of reference voltage vector amplitude, so that (2) where is the amplitude of the th component of the reference voltage vector. When the weight is active, then the regulator chooses the increment angle value from Table I. The increment is not needed when, because the multiplication
4 866 IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 47, NO. 4, AUGUST 2000 (c) (d) Fig. 8. Offline experimental tuning of input weight w and w, where, flux and torque error behavior, respectively, and (c), (d) flux and torque input weights during system tuning. Fig. 10. Laboratory control unit for test of the DTNFC. There are four nonzero output signals from the first layer (two for each input) during the steady-state operation. It results in four generated voltage vectors components ( ) in every sampling time. Vectors are added to each other and the result, voltage vector, is delivered to the space vector modulator. An example of the reference voltage calculation is presented in Fig. 5 (For simplicity, instead of four, there are only three nonzero vectors used for illustration). The space-vector modulator calculates switching states and according to the well-known algorithm [7], [10], [16]. Fig. 9. Dependence of the flux and torque error on the switching (sampling) frequency in the properly tuned system. is equal to zero. The angle of the reference voltage vector is calculated from the following equation: where reference voltage angle; actual angle of the stator flux vector; increment angle (from Table I). (3) III. IMPROVED STATOR FLUX VECTOR ESTIMATOR The most basic method for the stator flux vector estimation is based on the voltage model shown in Fig. 6. The voltage model does not require speed signal (as for example in the current model [9], [10], [16]). This makes the scheme directly applicable for speed sensorless control. However, deriving the stator flux from terminal voltages and currents is difficult because of open-loop integration [Fig. 6] is subject to sensing errors and drift at low stator frequency. Therefore, to avoid an open integration, voltage flux model working in polar coordinates has been used. As shown in Fig. 6, thanks to a transformation from stator fixed to synchronous
5 GRABOWSKI et al.: DTNFC OF PWM INVERTER-FED INDUCTION MOTOR DRIVE 867 (c) Fig. 11. Experimental results for the steady state-operation for the tuned DTNFC system. Stator current. Line-to-line voltage. (c) Stator flux trajectory. rotated coordinates /, the voltage model operates like a phase-locked loop (PLL) which guarantees better stability. A further improvement is achieved by using a new integration algorithm [8] with limiter in flux amplitude feedback [Fig. 6(c)]. IV. SELF-TUNING PROCEDURE There are many methods of tuning of fuzzy systems and neural networks. The ANFIS structure [11] [13] used for inverted pendulum stabilization is very similar to the presented DTNFC controller. The controller has been tuned automatically by a least-quare estimation algorithm (for output membership function) and backpropagation algorithm (for output and input membership function). The DTNFC can be tuned in the same way. However, we propose another simple and effective off line tuning method. The proposed DTNFC system contains three membership functions for each input. The tuning of the membership functions width corresponds to scaling of the flux and torque errors. The scaling factors are and weights. The DTNFC is nonlinear high-order system. Therefore, it is very helpful to use simulation for controller design. Fig. 7 presents computed flux and torque error as function of the input weights. The surfaces have also been verified experimentally. It can be seen that there is clearly defined minimum without any other local minimum points. This is because, for small weights the controller chooses high value of the reference voltage amplitude, which results in high flux and torque errors (ripples). From the other hand, if the weights are too big, the steady state errors increase. This tendency allows to use a simple gradient method to find the optimal working point (optimal and values), which guarantees minimal flux and torque errors. However, the torque and flux are not fully decoupled. It can be work out the equations from the mathematical induction motor model [6], [10] as follows: (4a) (4b) where reference voltage amplitude; reference voltage phase; synchronous angular speed,; stator resistance. It can be seen from (4a) and (4b) that, for nonzero synchronous angular speed, the changes of the flux influences the output torque, while the torque change does not influence the flux. That is why flux error minimum should be found first, before searching the torque error minimum. The offline tuning process of the system is presented in Fig. 8. Note that the tuning surfaces in Fig. 7 have a general validity. The numerical results may little differ according to motor parameters and supply voltage. Also the final flux and torque errors depend on the chosen inverter switching frequency (Fig. 9). The DTNFC scheme guarantees very fast flux and torque responses. It is thanks to the lack of integration. Unfortunately, this property causes constant torque error in steady state operation. One of the solutions is adding an integration block. However, as consequence, the torque response will be slow. In the DTNFC, instead of integration, the weight can be used to reach zero torque error at the steady state. This weight decides about the amplitude of the reference voltage vector. Therefore, instead of calculating by the controller, the value of the output weight is calculated from where and are experimentally chosen factors to compensate for the steady-state torque error (see the Appendix). V. EXPERIMENTAL RESULTS To verify the proposed DTNFC concept, a simulation program and the laboratory setup with a four-pole 3-kW induction motor drive with dspace DS1102 laboratory control board (5)
6 868 IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 47, NO. 4, AUGUST 2000 (c) (d) (e) (f) Fig. 12. Experimental oscillograms for motor magnetization at zero speed, the torque transients to the step changes, (c) the stator flux transients to the step changes, (d) slow speed reversal for no loaded motor, (e) four-quadrant operation, and (f) small step changes of speed command, 9 -stator flux amplitude, 9 -reference stator flux amplitude, i -stator current, m -output torque, m -reference torque,! -reference rotor speed,! -rotor speed. was constructed. The system is based on Texas Instrument TMS320C31 and TMS320P14 DSPs. The first (main) processor implements the DTNFC control algorithm, whereas the second provides the vector modulation. The board is equipped with four analog-to-digital converters (two 16-bit and two 12-bit), four digital-to-analog converters, and the input for an encoder. A PC Pentium 100 is used for software development and results visualization. Optic fibers are used as interface between the PWM voltage-source inverter and the DSP board. The software is written in high-level language C. The steady-state operation of the tuned system is presented in Fig. 11 (c). The sampling time has been set to 500 s, what gave flux and torque errors in the range of 1% and 3.5%, respectively. The result has been obtained for half of the nominal speed. The stator current is not distorted by the sector changes, as in the conventional DTC [6], [14], and the stator flux trajectory is circular. The motor magnetization process is presented in Fig. 12. It is visible that the magnetization process takes about ten sampling times (about 5 ms). The reference stator voltage chosen by the controller is parallel to the stator flux vector. It results in short torque distortion what is visible in the oscillogram. The torque transients to the step changes are presented in Fig. 12. It can be seen that, for the constant stator flux amplitude, the flux and torque are fully decoupled and the flux amplitude is not distorted during torque steps. The stator current response is also presented in the figure. The response time is
7 GRABOWSKI et al.: DTNFC OF PWM INVERTER-FED INDUCTION MOTOR DRIVE 869 about 3 ms, which gives a similar dynamic as in the conventional DTC method [5], [6], [14]. The DTNFC system property is characterized by high stator flux dynamic, which is higher than in the conventional DTC. This is because the resultant reference voltage vector can be selected in parallel to the flux vector, what ensures the fastest flux response. Such a property makes the DTNFC controller useful for energy efficient systems, where flux changes are required. The flux response for small step change is presented in Fig. 12(c). It can be seen in Fig. 12(d) that the controller can operate successfully at low speed. The slow speed reversal shows that the induction motor is not demagnetized in the low speed region and the torque is controlled correctly. The speed transient for fast speed ramp reversal is presented in Fig. 12(e). When a speed sensor is used the system is stable in whole speed range (including zero speed at full load). However, instabilities can only occur for sensorless operation in zero speed region. The lower speed control range depends on the used flux and speed estimators quality. In the laboratory setup, the speed sensorless stable operation has been observed over 1% 2% of nominal speed. Small-signal behavior of the speed control loop is presented in Fig. 12(f). The speed response time is about 10 ms. The more detailed study of DTNFC and comparison to classical variants of DTC has been presented in [6]. The classical DTC [14] has not been realized practically, because it was not possible to sample correctly the hysteresis controller. In such a way, it can be noticed that one of the advantages of the DTNFC is that the sampling time for this method can be lower and the whole controller can be realized in single-processor systems. VI. CONCLUSIONS The application of an NF approach for direct torque control of a PWM-inverter-fed induction motor has been investigated through DSP-based experimental implementation. The design and tuning procedure have been described. Also, the improved stator flux estimation algorithm, which guarantees eccentric estimated flux has been proposed. The presented DTNFC scheme has the following features and advantages: only one controller; simple tuning procedure; constant switching frequency and unipolar motor voltage thanks to applied space-vector modulator; torque and current harmonics mainly dependent on sampling time; no current and torque distortion caused by sector changes (there are no sectors borders); fast torque and flux response; no problems during low-speed operation; lower sampling time; possible online tuning. APPENDIX Motor Parameters: (stator resistance) ; (rotor resistance) ; (stator reactance) ; (rotor reactance) ; (main reactance) 4.007; (dc-link voltage) 1.5; (speed scaling factor) 1.33; (torque scaling factor) 0.13; (flux scaling factor) REFERENCES [1] G. Buja, A new control strategy of the induction motor drives: The direct flux and torque control, IEEE Ind. Electron. Soc. Newslett., vol. 45, pp , Dec [2] D. Casadei, G. Grandi, G. Serra, and A. Tani, Effects of flux and torque hysteresis band amplitude in direct torque control of induction machines, in Proc. IEEE IECON 94, 1994, p [3] A. Damiano and P. Vas et al., Comparison of speed-sensorless DTC induction motor drives, in Proc. PCIM, Nuremberg, Germany, 1997, pp [4] M. Depenbrock, Direct self control of inverter-fed induction machines, IEEE Trans. Power Electron., vol. 3, pp , Oct [5] P. Z. Grabowski, Direct torque neuro-fuzzy control of induction motor drive, in Proc. IEEE IECON 97, 1997, pp [6], Direct flux and torque neuro-fuzzy control of inverter-fed induction motor drives, Ph.D. thesis, Inst. Contr. Ind. Electron., Warsaw Univ. Technol., Warsaw, Poland, [7] T. G. Hableter, F. Profumo, M. Pastorelli, and L. M. Tolbert, Direct torque control of induction machines using space vector modulation, IEEE Trans. Ind. Applicat., vol. 28, pp , Sept./Oct [8] J. Hu and B. Wu, New integration algorithms for estimating motor flux over a wide speed range, IEEE Trans. Power Electron., vol. 13, pp , Sept [9] M. P. Kazmierkowski and A. Kasprowicz, Improved direct torque and flux vector control of PWM inverter-fed induction motor drives, IEEE Trans. Ind. Electron., vol. 45, pp , Aug [10] M. P. Kazmierkowski and H. Tunia, Automatic Control of Converter-Fed Drives. Amsterdam, The Netherlands: Elsevier, [11] J.-S. R. Jang, ANFIS: Adaptive-network-based fuzzy inference system, IEEE Trans. Syst., Man, Cybern., vol. 23, pp , May/June [12], Self-learning fuzzy controllers based on temporal back propagation, IEEE Trans. Neural Networks, vol. 3, pp , Sept [13] J.-S. R. Jang and C.-T. Sun, Neuro-fuzzy modeling and control, Proc. IEEE, vol. 83, pp , Mar [14] I. Takahashi and T. Noguchi, A new quick-response and high efficiency control strategy of an induction machine, IEEE Trans. Ind. Applicat., vol. IA-22, pp , Sept./Oct [15] P. Tiitinen, P. Pohjalainen, and J. Lalu, The next generation motor control method direct torque control, DTC, in Proc. PEDES Conf., New Delhi, India, 1996, pp [16] P. Vas, Sensorless Vector And Direct Torque Control. Oxford, U.K.: Oxford Univ. Press, Pawel Z. Grabowski (S 95 A 99) was born in Warsaw, Poland, in He received the M.Sc.E.E. degree from Warsaw University of Technology, Warsaw, Poland, and the Ph.D. degree from the Institute of Control and Industrial Electronics, Warsaw University of Technology, in 1994 and 2000, respectively. Since August 1999, he has been with Schneider Electric Poland Ltd., Warsaw, Poland. His research areas are control systems, DSP-based controllers, intelligent control methods in power electronics, ac drives, and simulation. Dr. Grabowski is a Student Member of the IEEE Industrial Electronics Society. He received the 1994 SEP Award for his M.Sc.E.E. thesis and FIAT Award in 2000 for his Ph.D. dissertation.
8 870 IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 47, NO. 4, AUGUST 2000 Marian P. Kazmierkowski (M 89 SM 91 F 98) received the M.Sc., Ph.D., and Dr.Sc. degrees in electrical engineering from the Institute of Control and Industrial Electronics, Warsaw University of Technology, Warsaw, Poland, in 1968, 1972 and 1981, respectively. From 1967 to 1969, he was with the Industrial Research Institute of Electrotechnics (IEl), Warsaw, Poland, and from 1969 to 1980, he was with the Institute of Control and Industrial Electronics, Warsaw University of Technology, as an Assistant Professor. From 1980 to 1983, he was with RWTH Aachen, Aachen, West Germany, as an Alexander von Humboldt Fellow. During , he was a Visiting Professor at NTH Trondheim, Trondheim, Norway. Since 1987, he has been a Professor and Director of the Institute of Control and Industrial Electronics, Warsaw University of Technology. He was a Visiting Professor at the University of Minnesota, Minneapolis, in 1990, at Aalborg University, Aalborg East, Denmark, in 1990 and 1995, and at the University of Padova, Padova, Italy, in He is also currently a Coordinating Professor in the International Danfoss Professor Program , Aalborg University. Since 1996, he serves as an elected member of the State Committee for Scientific Research in Poland. He is engaged in research and theoretical work on electrical drive control and industrial electronics. He is the author or coauthor of more than 140 technical papers and reports, as well as 11 books and textbooks. His latest book, with Dr. H. Tunia, is Automatic Control of Converter-Fed Drives (Amsterdam, The Netherlands: Elsevier, 1994). Dr. Kazmierkowski was the Chairman of the 1996 IEEE International Symposium on Industrial Electronics held in Warsaw, Poland. He is an Associate Editor of the IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS and Vice President, Publications, IEEE Industrial Electronics Society. Bimal K. Bose (S 59 M 60 SM 78 F 89 LF 96) received the B.E. degree from Calcutta University (Bengal Engineering College), Calcutta, India, the M.S. degree from the University of Wisconsin, Madison, and the Ph.D. degree from Calcutta University in 1956, 1960, and 1966, respectively. He currently holds the Condra Chair of Excellence in Power Electronics at the University of Tennessee, Knoxville, where he is responsible for organizing the power electronics teaching and research program for the last 13 years. He is also the Distinguished Scientist of the EPRI-Power Electronics Applications Center, Knoxville, and Honorary Professor of Shanghai University, China University of Mining and Technology, and Xian Mining Institute (also Honorary Director of its Electrical Engineering Institute), China, and Senior Adviser of the Beijing Power Electronics Research and Development Center, Beijing, China. Early in his career, for 11 years, he served as a faculty member at Calcutta University (Bengal Engineering College). In 1971, he joined Rensselaer Polytechnic Institute, Troy, NY, as Associate Professor of electrical engineering and conducted its teaching and research program. In 1976, he joined General Electric Corporate Research and Development, Schenectady, NY, as a Research Engineer and served there for 11 years. He has served as a Consultant to more than ten industries. His research interests extend across the whole spectrum of power electronics, and specifically include power converters, ac drives, microcomputer control, EV drives, and expert system, fuzzy logic, and neural network applications in power electronics and drives. He has authored more than 150 published papers and is the holder of 20 U.S. patents. He is the author and editor of a number of books, including Power Electronics and AC Drives (Englewood Cliffs, NJ: Prentice-Hall, 1986), Adjustable Speed AC Drive Systems (New York: IEEE Press, 1981), Microcomputer Control of Power Electronics and Drives (New York: IEEE Press, 1987), Modern Power Electronics (New York: IEEE Press, 1992), and Power Electronics and Variable Frequency Drives (New York: IEEE Press, 1997). The book Power Electronics and AC Drives has been translated into Japanese, Chinese, and Korean, and is widely used as a graduate-level text book. He has travelled widely and has given keynote addresses, tutorials, and invited lectures to promote power electronics internationally. He has served in a numerous national and international professional organizations. In 1995, he initiated Power Electronics for Universal Brotherhood (PEUB), an international organization to promote humanitarian activities of the power electronics community. Dr. Bose has served the IEEE in various capacities that include Chairman of the IEEE Industrial Electronics Society (IES) Power Electronics Council, Associate Editor of the IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, IEEE IECON Power Electronics Chairman, Chairman of IEEE Industry Applications Society (IAS) Industrial Power Converter Committee, IAS member in the Neural Network Council, and various other professional committees. He has been a member of the Editorial Board of the PROCEEDINGS OF THE IEEE since He was a Distinguished Lecturer of the IAS and IES. He received the IAS Outstanding Achievement Award in 1993, IES Eugene Mittelmann Award in 1994, IEEE Region 3 Outstanding Engineer Award in 1994, IEEE Lamme Gold Medal in 1996, and IEEE Continuing Education Award for in He was the Guest Editor of the PROCEEDINGS OF THE IEEE Special Issue on Power Electronics and Motion Control (August 1994). He received the GE Publication Award, Silver Patent Medal, and a number of IEEE Prize Paper Awards. For his research contributions, he was awarded the Premchand Roychand Scholarship and Mouat Gold Medal by Calcutta University in 1968 and 1970, respectively. He is listed in Marquis Who s Who in America. Frede Blaabjerg (S 86 M 88 SM 97) was born in Erslev, Denmark, in He received the Msc.EE. from Aalborg University, Aalborg East, Denmark, and the Ph.D. degree from the Institute of Energy Technology, Aalborg University, in 1987 and 1995, respectively. He was employed with ABB-Scandia, Randers, Denmark, from 1987 to He became an Assistant Professor in 1992 at Aalborg University, where, in 1996, he became and Associate Professor and, in 1998, he became a Full Professor in power electronics and drives. His research areas are power electronics, static power converters, ac drives, switched reluctance drives, modeling, characterization of power semiconductor devices, and simulation. He is involved in more than ten research projects with industry. Among them is the Danfoss Professor Programme in Power Electronics and Drives. Dr. Blaabjerg is a member of the European Power Electronics and Drives Association and the IEEE Industry Applications Society (IAS) Industrial Drives Committee. He is also a member of the Industry Power Converter Committee and the Power Electronics Devices and Components Committee of the IAS. He is the Paper Review Chairman of the Industrial Power Converter Committee of the IAS. He serves as a member of the Danish Technical Research Council in Denmark and a member of the board of the Danish Space Research Institute. In 1995, he received the Angelos Award for his contribution to modulation technique and control of electric drives and an Annual Teacher Prize from Aalborg University. In 1998, he received the Outstanding Young Power Electronics Engineer Award from the IEEE Power Electronics Society and an IEEE TRANSACTIONS ON POWER ELECTRONICS Prize Paper Award for best paper published in He also received two Prize Paper Awards at the IAS Annual Meeting in 1998.
A New Variable Gain PI Controller Used For Direct Torque Neuro Fuzzy Speed Control Of Induction Machine Drive
A New Variable Gain PI Controller Used For Direct Torque Neuro Fuzzy Speed Control Of Induction Machine Drive A. Miloudi 1, E. A. Al-Radadi 2, Y. Miloud 1, A. Draou 2, 1 University Centre of Saïda, BP
More informationDIRECT TORQUE NEURO FUZZY SPEED CONTROL OF AN INDUCTION MACHINE DRIVE BASED ON A NEW VARIABLE GAIN PI CONTROLLER
Journal of ELECTRICAL ENGINEERING, VOL. 59, NO. 4, 2008, 210 215 DIRECT TORQUE NEURO FUZZY SPEED CONTROL OF AN INDUCTION MACHINE DRIVE BASED ON A NEW VARIABLE GAIN PI CONTROLLER Eid Al-radadi This paper
More informationBECAUSE OF their low cost and high reliability, many
824 IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 45, NO. 5, OCTOBER 1998 Sensorless Field Orientation Control of Induction Machines Based on a Mutual MRAS Scheme Li Zhen, Member, IEEE, and Longya
More informationA Neural-Network-Based Space-Vector PWM Controller for a Three-Level Voltage-Fed Inverter Induction Motor Drive
660 IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, VOL. 38, NO. 3, MAY/JUNE 2002 A Neural-Network-Based Space-Vector PWM Controller a Three-Level Voltage-Fed Inverter Induction Motor Drive Subrata K. Mondal,
More informationIN MANY industrial applications, ac machines are preferable
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 46, NO. 1, FEBRUARY 1999 111 Automatic IM Parameter Measurement Under Sensorless Field-Oriented Control Yih-Neng Lin and Chern-Lin Chen, Member, IEEE Abstract
More informationInternational Journal of Intellectual Advancements and Research in Engineering Computations
www.ijiarec.com MAR-2015 International Journal of Intellectual Advancements and Research in Engineering Computations SPEED CONTROL OF BLDC MOTOR BY USING UNIVERSAL BRIDGE WITH ABSTRACT ISSN: 2348-2079
More informationSimulation and Analysis of SVPWM Based 2-Level and 3-Level Inverters for Direct Torque of Induction Motor
International Journal of Electronic Engineering Research ISSN 0975-6450 Volume 1 Number 3 (2009) pp. 169 184 Research India Publications http://www.ripublication.com/ijeer.htm Simulation and Analysis of
More informationSPEED CONTROL OF INDUCTION MOTOR WITHOUT SPEED SENSOR AT LOW SPEED OPERATIONS
SPEED CONTROL OF INDUCTION MOTOR WITHOUT SPEED SENSOR AT LOW SPEED OPERATIONS Akshay Prasad Dubey and Saravana Kumar R. School of Electrical Engineering, VIT University, Vellore, Tamil Nadu, India E-Mail:
More informationA DUAL FUZZY LOGIC CONTROL METHOD FOR DIRECT TORQUE CONTROL OF AN INDUCTION MOTOR
International Journal of Science, Environment and Technology, Vol. 3, No 5, 2014, 1713 1720 ISSN 2278-3687 (O) A DUAL FUZZY LOGIC CONTROL METHOD FOR DIRECT TORQUE CONTROL OF AN INDUCTION MOTOR 1 P. Sweety
More informationA Novel Control Method for Input Output Harmonic Elimination of the PWM Boost Type Rectifier Under Unbalanced Operating Conditions
IEEE TRANSACTIONS ON POWER ELECTRONICS, VOL. 16, NO. 5, SEPTEMBER 2001 603 A Novel Control Method for Input Output Harmonic Elimination of the PWM Boost Type Rectifier Under Unbalanced Operating Conditions
More informationImproved direct torque control of induction motor with dither injection
Sādhanā Vol. 33, Part 5, October 2008, pp. 551 564. Printed in India Improved direct torque control of induction motor with dither injection R K BEHERA andspdas Department of Electrical Engineering, Indian
More informationIMPLEMENTATION OF NEURAL NETWORK IN ENERGY SAVING OF INDUCTION MOTOR DRIVES WITH INDIRECT VECTOR CONTROL
IMPLEMENTATION OF NEURAL NETWORK IN ENERGY SAVING OF INDUCTION MOTOR DRIVES WITH INDIRECT VECTOR CONTROL * A. K. Sharma, ** R. A. Gupta, and *** Laxmi Srivastava * Department of Electrical Engineering,
More informationOn-Line Dead-Time Compensation Method Based on Time Delay Control
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, VOL. 11, NO. 2, MARCH 2003 279 On-Line Dead-Time Compensation Method Based on Time Delay Control Hyun-Soo Kim, Kyeong-Hwa Kim, and Myung-Joong Youn Abstract
More informationSimple speed sensorless DTC-SVM scheme for induction motor drives
BULLETIN OF THE POLISH ACADEMY OF SCIENCES TECHNICAL SCIENCES, Vol. 61, No. 2, 2013 DOI: 10.2478/bpasts-2013-0028 Simple speed sensorless DTC-SVM scheme for induction motor drives H. ABU-RUB 1, D. STANDO
More informationInternational Journal of Scientific & Engineering Research, Volume 5, Issue 6, June-2014 ISSN
35 Torque Ripple Reduction in Three-level SVM Based Direct Torque Control of Induction Motor Kousalya D Asiya Husna V Manoj Kumar N Department of EEE Department of EEE Department of EEE RMK Engineering
More informationOPTIMAL TORQUE RIPPLE CONTROL OF ASYNCHRONOUS DRIVE USING INTELLIGENT CONTROLLERS
OPTIMAL TORQUE RIPPLE CONTROL OF ASYNCHRONOUS DRIE USING INTELLIGENT CONTROLLERS J.N.Chandra Sekhar 1 and Dr.G. Marutheswar 2 1 Department of EEE, Assistant Professor, S University College of Engineering,
More informationModeling and Analysis of Common-Mode Voltages Generated in Medium Voltage PWM-CSI Drives
IEEE TRANSACTIONS ON POWER ELECTRONICS, VOL. 18, NO. 3, MAY 2003 873 Modeling and Analysis of Common-Mode Voltages Generated in Medium Voltage PWM-CSI Drives José Rodríguez, Senior Member, IEEE, Luis Morán,
More informationFOR the last decade, many research efforts have been made
IEEE TRANSACTIONS ON POWER ELECTRONICS, VOL. 19, NO. 6, NOVEMBER 2004 1601 A Novel Approach for Sensorless Control of PM Machines Down to Zero Speed Without Signal Injection or Special PWM Technique Chuanyang
More informationA Comparative Study between DPC and DPC-SVM Controllers Using dspace (DS1104)
International Journal of Electrical and Computer Engineering (IJECE) Vol. 4, No. 3, June 2014, pp. 322 328 ISSN: 2088-8708 322 A Comparative Study between DPC and DPC-SVM Controllers Using dspace (DS1104)
More informationA Sliding Mode Controller for a Three Phase Induction Motor
A Sliding Mode Controller for a Three Phase Induction Motor Eman El-Gendy Demonstrator at Computers and systems engineering, Mansoura University, Egypt Sabry F. Saraya Assistant professor at Computers
More informationCHAPTER 2 CURRENT SOURCE INVERTER FOR IM CONTROL
9 CHAPTER 2 CURRENT SOURCE INVERTER FOR IM CONTROL 2.1 INTRODUCTION AC drives are mainly classified into direct and indirect converter drives. In direct converters (cycloconverters), the AC power is fed
More informationA Novel Induction Motor Speed Estimation Using Neuro Fuzzy
2011 International Conference on Circuits, System and Simulation IPCSIT vol.7 (2011) (2011) IACSIT Press, Singapore A Novel Induction Motor Speed Estimation Using Neuro Fuzzy 1 Zulkarnain Lubis, 2 Solly
More informationImproved Fuzzy Logic Control Strategy of Induction Machine based on Direct Torque Control
Vol. 7(25), Jul. 27, PP. 3446-3453 Improved Fuzzy Logic Control Strategy of Induction Machine based on Direct Torque Control NOUR Mohamed * and TEDJINI Hamza SGRE Laboratry - Tahri Mohamed University Bechar,
More informationModeling & Simulation of PMSM Drives with Fuzzy Logic Controller
Vol. 3, Issue. 4, Jul - Aug. 2013 pp-2492-2497 ISSN: 2249-6645 Modeling & Simulation of PMSM Drives with Fuzzy Logic Controller Praveen Kumar 1, Anurag Singh Tomer 2 1 (ME Scholar, Department of Electrical
More informationControl of Induction Motor Fed with Inverter Using Direct Torque Control - Space Vector Modulation Technique
Control of Induction Motor Fed with Inverter Using Direct Torque Control - Space Vector Modulation Technique Vikas Goswami 1, Sulochana Wadhwani 2 1 Department Of Electrical Engineering, MITS Gwalior 2
More informationImproving Passive Filter Compensation Performance With Active Techniques
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 50, NO. 1, FEBRUARY 2003 161 Improving Passive Filter Compensation Performance With Active Techniques Darwin Rivas, Luis Morán, Senior Member, IEEE, Juan
More informationAnalysis of Indirect Temperature-Rise Tests of Induction Machines Using Time Stepping Finite Element Method
IEEE TRANSACTIONS ON ENERGY CONVERSION, VOL. 16, NO. 1, MARCH 2001 55 Analysis of Indirect Temperature-Rise Tests of Induction Machines Using Time Stepping Finite Element Method S. L. Ho and W. N. Fu Abstract
More informationIEEE TRANSACTIONS ON POWER ELECTRONICS, VOL. 14, NO. 3, MAY A Sliding Mode Current Control Scheme for PWM Brushless DC Motor Drives
IEEE TRANSACTIONS ON POWER ELECTRONICS, VOL. 14, NO. 3, MAY 1999 541 A Sliding Mode Current Control Scheme for PWM Brushless DC Motor Drives Jessen Chen and Pei-Chong Tang Abstract This paper proposes
More informationChaotic speed synchronization control of multiple induction motors using stator flux regulation. IEEE Transactions on Magnetics. Copyright IEEE.
Title Chaotic speed synchronization control of multiple induction motors using stator flux regulation Author(s) ZHANG, Z; Chau, KT; Wang, Z Citation IEEE Transactions on Magnetics, 2012, v. 48 n. 11, p.
More informationFast Controling Induction Motor Speed Estimation Using Neuro Fuzzy
AENSI Journals Australian Journal of Basic and Applied Sciences ISSN:1991-8178 Journal home page: www.ajbasweb.com Fast Controling Induction Motor Speed Estimation Using Neuro Fuzzy 1 L. Zulkarnain and
More informationSynchronous Current Control of Three phase Induction motor by CEMF compensation
Synchronous Current Control of Three phase Induction motor by CEMF compensation 1 Kiran NAGULAPATI, 2 Dhanamjaya Appa Rao, 3 Anil Kumar VANAPALLI 1,2,3 Assistant Professor, ANITS, Sangivalasa, Visakhapatnam,
More informationDIRECT TORQUE CONTROL OF THREE PHASE INDUCTION MOTOR BY USING FOUR SWITCH INVERTER
DIRECT TORQUE CONTROL OF THREE PHASE INDUCTION MOTOR BY USING FOUR SWITCH INVERTER Mr. Aniket C. Daiv. TSSM's BSCOER, Narhe ABSTRACT Induction motor proved its importance, since its invention and has been
More informationApplication of Fuzzy Logic Controller in Shunt Active Power Filter
IJIRST International Journal for Innovative Research in Science & Technology Volume 2 Issue 11 April 2016 ISSN (online): 2349-6010 Application of Fuzzy Logic Controller in Shunt Active Power Filter Ketan
More informationTRADITIONALLY, passive filters have been used
724 IEEE TRANSACTIONS ON POWER ELECTRONICS, VOL. 14, NO. 4, JULY 1999 A Fuzzy-Controlled Active Front-End Rectifier with Current Harmonic Filtering Characteristics and Minimum Sensing Variables Juan W.
More informationVol. 1, Issue VI, July 2013 ISSN
ANALYSIS - FOR DIFFERENT LEVELS OF CASCADE MULTI-LEVEL STATCOM FOR DTC INDUCTION MOTOR DRIVE GaneswaraRao Ippili 1, Swarupa.V 2, Pavan Kumar Maddukuri 3 1,2,3 Assistant Professor, Dept. of Electrical and
More informationfor more please visit :
articlopedia.gigcities.com for more please visit : http://articlopedia.gigcities.com file:///d /important.html9/13/2006 8:50:19 PM Disclaimer: This document was part of the First European DSP Education
More informationDevelopment of Variable Speed Drive for Single Phase Induction Motor Based on Frequency Control
Development of Variable Speed Drive for Single Phase Induction Motor Based on Frequency Control W.I.Ibrahim, R.M.T.Raja Ismail,M.R.Ghazali Faculty of Electrical & Electronics Engineering Universiti Malaysia
More informationVECTOR CONTROL SCHEME FOR INDUCTION MOTOR WITH DIFFERENT CONTROLLERS FOR NEGLECTING THE END EFFECTS IN HEV APPLICATIONS
VECTOR CONTROL SCHEME FOR INDUCTION MOTOR WITH DIFFERENT CONTROLLERS FOR NEGLECTING THE END EFFECTS IN HEV APPLICATIONS M.LAKSHMISWARUPA 1, G.TULASIRAMDAS 2 & P.V.RAJGOPAL 3 1 Malla Reddy Engineering College,
More informationHARMONIC contamination, due to the increment of nonlinear
612 IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 44, NO. 5, OCTOBER 1997 A Series Active Power Filter Based on a Sinusoidal Current-Controlled Voltage-Source Inverter Juan W. Dixon, Senior Member,
More informationA Responsive Neuro-Fuzzy Intelligent Controller via Emotional Learning for Indirect Vector Control (IVC) of Induction Motor Drives
International Journal of Electrical Engineering. ISSN 0974-2158 Volume 6, Number 3 (2013), pp. 339-349 International Research Publication House http://www.irphouse.com A Responsive Neuro-Fuzzy Intelligent
More informationThis is a repository copy of Direct torque control of brushless DC drives with reduced torque ripple.
This is a repository copy of Direct torque control of brushless DC drives with reduced torque ripple. White Rose Research Online URL for this paper: http://eprints.whiterose.ac.uk/863/ Article: Liu, Y.,
More informationSelf-Tuning PI-Type Fuzzy Direct Torque Control for Three-phase Induction Motor
Self-Tuning PI-Type Fuzzy Direct Torque Control for Three-phase Induction Motor JOSÉ L. AZCUE P., ALFEU J. SGUAREZI FILHO and ERNESTO RUPPERT Department of Energy Control and Systems University of Campinas
More informationCHAPTER 3 VOLTAGE SOURCE INVERTER (VSI)
37 CHAPTER 3 VOLTAGE SOURCE INVERTER (VSI) 3.1 INTRODUCTION This chapter presents speed and torque characteristics of induction motor fed by a new controller. The proposed controller is based on fuzzy
More informationAnalysis of Voltage Source Inverters using Space Vector PWM for Induction Motor Drive
IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE) ISSN: 2278-1676 Volume 2, Issue 6 (Sep-Oct. 2012), PP 14-19 Analysis of Voltage Source Inverters using Space Vector PWM for Induction
More informationProposition of an Offline Learning Current Modulation for Torque-Ripple Reduction in Switched Reluctance Motors: Design and Experimental Evaluation
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 49, NO. 3, JUNE 2002 665 Proposition of an Offline Learning Current Modulation for Torque-Ripple Reduction in Switched Reluctance Motors: Design and Experimental
More informationHARDWARE IMPLEMENTATION OF DIGITAL SIGNAL CONTROLLER FOR THREE PHASE VECTOR CONTROLLED INDUCTION MOTOR
HARDWARE IMPLEMENTATION OF DIGITAL SIGNAL CONTROLLER FOR THREE PHASE VECTOR CONTROLLED INDUCTION MOTOR SOHEIR M. A. ALLAHON, AHMED A. ABOUMOBARKA, MAGD A. KOUTB, H. MOUSA Engineer,Faculty of Electronic
More informationImplementation and position control performance of a position-sensorless IPM motor drive system based on magnetic saliency
Engineering Electrical Engineering fields Okayama University Year 1998 Implementation and position control performance of a position-sensorless IPM motor drive system based on magnetic saliency Satoshi
More informationCOMMON mode current due to modulation in power
982 IEEE TRANSACTIONS ON POWER ELECTRONICS, VOL. 14, NO. 5, SEPTEMBER 1999 Elimination of Common-Mode Voltage in Three-Phase Sinusoidal Power Converters Alexander L. Julian, Member, IEEE, Giovanna Oriti,
More informationFuzzy logic control implementation in sensorless PM drive systems
Philadelphia University, Jordan From the SelectedWorks of Philadelphia University, Jordan Summer April 2, 2010 Fuzzy logic control implementation in sensorless PM drive systems Philadelphia University,
More informationADVANCED DC-DC CONVERTER CONTROLLED SPEED REGULATION OF INDUCTION MOTOR USING PI CONTROLLER
Asian Journal of Electrical Sciences (AJES) Vol.2.No.1 2014 pp 16-21. available at: www.goniv.com Paper Received :08-03-2014 Paper Accepted:22-03-2013 Paper Reviewed by: 1. R. Venkatakrishnan 2. R. Marimuthu
More informationII. PROPOSED CLOSED LOOP SPEED CONTROL OF PMSM BLOCK DIAGRAM
Closed Loop Speed Control of Permanent Magnet Synchronous Motor fed by SVPWM Inverter Malti Garje 1, D.R.Patil 2 1,2 Electrical Engineering Department, WCE Sangli Abstract This paper presents very basic
More informationTHE ULTRASONIC motor (USM) is a new type of actuator
IEEE TRANSACTIONS ON POWER ELECTRONICS, VOL. 20, NO. 5, SEPTEMBER 2005 1143 A Highly Effective Load Adaptive Servo Drive System for Speed Control of Travelling-Wave Ultrasonic Motor Güngör Bal, Member,
More informationDigital Control of Permanent Magnet Synchronous Motor
Digital Control of Permanent Magnet Synchronous Motor Jayasri R. Nair 1 Assistant Professor, Dept. of EEE, Rajagiri School Of Engineering and Technology, Kochi, Kerala, India 1 ABSTRACT: The principle
More informationKeywords - Induction motor, space vector PWM, DTC, sensorless control, reconstruction.
e-issn: 2278-1676, p-issn: 232-3331 Reconstruction of Phase Current of Induction Motor Drive based on DC Link Measurement Najma Ansari, Nahid Khan, Shital B. Rewatkar Department of Electrical Engineering,
More informationANALYSIS OF V/f CONTROL OF INDUCTION MOTOR USING CONVENTIONAL CONTROLLERS AND FUZZY LOGIC CONTROLLER
ANALYSIS OF V/f CONTROL OF INDUCTION MOTOR USING CONVENTIONAL CONTROLLERS AND FUZZY LOGIC CONTROLLER Archana G C 1 and Reema N 2 1 PG Student [Electrical Machines], Department of EEE, Sree Buddha College
More informationTHREE-PHASE voltage-source pulsewidth modulation
1144 IEEE TRANSACTIONS ON POWER ELECTRONICS, VOL. 13, NO. 6, NOVEMBER 1998 A Novel Overmodulation Technique for Space-Vector PWM Inverters Dong-Choon Lee, Member, IEEE, and G-Myoung Lee Abstract In this
More informationAdaptive Flux-Weakening Controller for IPMSM Drives
Adaptive Flux-Weakening Controller for IPMSM Drives Silverio BOLOGNANI 1, Sandro CALLIGARO 2, Roberto PETRELLA 2 1 Department of Electrical Engineering (DIE), University of Padova (Italy) 2 Department
More informationDC Link approach to Variable-Speed, Sensorless, Induction Motor Drive
National Conference On Advances in Energy and Power Control Engineering (AEPCE-2K2) DC Link approach to Variable-Speed, Sensorless, Induction Motor Drive Ch.U.Phanendra.Kumar SK.Mohiddin 2 A.Hanumaiah
More informationAbstract: PWM Inverters need an internal current feedback loop to maintain desired
CURRENT REGULATION OF PWM INVERTER USING STATIONARY FRAME REGULATOR B. JUSTUS RABI and Dr.R. ARUMUGAM, Head of the Department of Electrical and Electronics Engineering, Anna University, Chennai 600 025.
More informationPREDICTIVE CONTROL OF INDUCTION MOTOR DRIVE USING DSPACE
PREDICTIVE CONTROL OF INDUCTION MOTOR DRIVE USING DSPACE P. Karlovský, J. Lettl Department of electric drives and traction, Faculty of Electrical Engineering, Czech Technical University in Prague Abstract
More informationComparative Investigation of Diagnostic Media for Induction Motors: A Case of Rotor Cage Faults
1092 IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 47, NO. 5, OCTOBER 2000 Comparative Investigation of Diagnostic Media for Induction Motors: A Case of Rotor Cage Faults Andrzej M. Trzynadlowski,
More informationA VARIABLE SPEED PFC CONVERTER FOR BRUSHLESS SRM DRIVE
A VARIABLE SPEED PFC CONVERTER FOR BRUSHLESS SRM DRIVE Mrs. M. Rama Subbamma 1, Dr. V. Madhusudhan 2, Dr. K. S. R. Anjaneyulu 3 and Dr. P. Sujatha 4 1 Professor, Department of E.E.E, G.C.E.T, Y.S.R Kadapa,
More informationIEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 53, NO. 2, APRIL
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 53, NO. 2, APRIL 2006 399 Sensorless Speed Control of Nonsalient Permanent-Magnet Synchronous Motor Using Rotor-Position-Tracking PI Controller Jul-Ki
More informationIEEE-PEMC 2018 TUTORIAL PROPOSAL
IEEE-PEMC 2018 TUTORIAL PROPOSAL 1. TUTORIAL TITLE: Rectification Harmonics in Motor Drives: Modeling and Control 2. TUTORIAL ABSTRACT In modern industrial motor drive applications, low-cost, simple-structure,
More informationEfficiency Optimized Brushless DC Motor Drive. based on Input Current Harmonic Elimination
Efficiency Optimized Brushless DC Motor Drive based on Input Current Harmonic Elimination International Journal of Power Electronics and Drive System (IJPEDS) Vol. 6, No. 4, December 2015, pp. 869~875
More informationComparison of Lamination Iron Losses Supplied by PWM Voltages: US and European Experiences
Comparison of Lamination Iron Losses Supplied by PWM Voltages: US and European Experiences A. Boglietti, IEEE Member, A. Cavagnino, IEEE Member, T. L. Mthombeni, IEEE Student Member, P. Pillay, IEEE Fellow
More informationMinimum Copper Loss Flux-Weakening Control of Surface Mounted Permanent Magnet Synchronous Motors
IEEE TRANSACTIONS ON POWER ELECTRONICS, VOL. 18, NO. 4, JULY 2003 929 Minimum Copper Loss Flux-Weakening Control of Surface Mounted Permanent Magnet Synchronous Motors Jiunn-Jiang Chen and Kan-Ping Chin,
More informationBimal K. Bose and Marcelo G. Simões
United States National Risk Management Environmental Protection Research Laboratory Agency Research Triangle Park, NC 27711 Research and Development EPA/600/SR-97/010 March 1997 Project Summary Fuzzy Logic
More informationONE OF THE main problems encountered in open-loop
IEEE TRANSACTIONS ON POWER ELECTRONICS, VOL. 14, NO. 4, JULY 1999 683 On-Line Dead-Time Compensation Technique for Open-Loop PWM-VSI Drives Alfredo R. Muñoz, Member, IEEE, and Thomas A. Lipo, Fellow, IEEE
More informationNEW ADAPTIVE SPEED CONTROLLER FOR IPMSM DRIVE
NEW ADAPTIVE SPEED CONTROLLER FOR IPMSM DRIVE Aadyasha Patel 1, Karthigha D. 2, Sathiya K. 3 1, 2, 3 Assistant Professor, Electrical & Electronics Engineering, PSVP Engineering College, Tamil Nadu, India
More informationIN RECENT years, sensorless or self-sensing control of
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, VOL. 34, NO. 5, SEPTEMBER/OCTOBER 1998 1097 Using Multiple Saliencies for the Estimation of Flux, Position, and Velocity in AC Machines Michael W. Degner and
More informationGeneralized PWM algorithm for Direct Torque Controlled Induction Motor Drives using the only Sampled Voltages
Generalized PWM algorithm for Direct Torque Controlled Induction Motor Drives using the only Sampled Voltages J.Bhavani 1, J.Amarnath 2, D.Subbarayudu 3 1Associate professor, EEE Department, Malla Reddy
More informationA Simple Sensor-less Vector Control System for Variable
Paper A Simple Sensor-less Vector Control System for Variable Speed Induction Motor Drives Student Member Hasan Zidan (Kyushu Institute of Technology) Non-member Shuichi Fujii (Kyushu Institute of Technology)
More informationTraction Drive with PMSM: Frequency Characteristics Measurement
Transactions on Electrical Engineering, Vol. 1 (2012), No. 1 13 Traction Drive with PMSM: Frequency Characteristics Measurement Tomáš Glasberger 1), Zdeněk Peroutka 2) Martin Janda 3), Jan Majorszký 4)
More informationH-BRIDGE system used in high power dc dc conversion
IEEE TRANSACTIONS ON POWER ELECTRONICS, VOL. 23, NO. 1, JANUARY 2008 353 Quasi Current Mode Control for the Phase-Shifted Series Resonant Converter Yan Lu, K. W. Eric Cheng, Senior Member, IEEE, and S.
More informationPerformance Analysis of Fuzzy Logic And PID Controller for PM DC Motor Drive Khalid Al-Mutib 1, N. M. Adamali Shah 2, Ebrahim Mattar 3
Performance Analysis of Fuzzy Logic And PID Controller for PM DC Motor Drive Khalid Al-Mutib 1, N. M. Adamali Shah 2, Ebrahim Mattar 3 1 King Saud University, Riyadh, Saudi Arabia, muteb@ksu.edu.sa 2 King
More informationSouth Asian Journal of Engineering and Technology Vol.2, No.16 (2016) 21 30
ISSN No: 2454-9614 Direct Torque Control of Permanent Magnet Synchronous Motor with Reduced Torque Using Sinusoidal Pulse Width Modulation K.Rajiv,D.Vinathi,L.K.Shalini Sri Guru Institute of Technology
More informationCHAPTER-5 DESIGN OF DIRECT TORQUE CONTROLLED INDUCTION MOTOR DRIVE
113 CHAPTER-5 DESIGN OF DIRECT TORQUE CONTROLLED INDUCTION MOTOR DRIVE 5.1 INTRODUCTION This chapter describes hardware design and implementation of direct torque controlled induction motor drive with
More informationEEE, St Peter s University, India 2 EEE, Vel s University, India
Torque ripple reduction of switched reluctance motor drives below the base speed using commutation angles control S.Vetriselvan 1, Dr.S.Latha 2, M.Saravanan 3 1, 3 EEE, St Peter s University, India 2 EEE,
More informationIJSRD - International Journal for Scientific Research & Development Vol. 2, Issue 06, 2014 ISSN (online):
IJSRD - International Journal for Scientific Research & Development Vol. 2, Issue 06, 2014 ISSN (online): 2321-0613 Modeling and Simulation of SRF Control Based Shunt Active Power Filter and Application
More informationEnhanced Performance of Multilevel Inverter Fed Induction Motor Drive
Enhanced Performance of Multilevel Inverter Fed Induction Motor Drive Venkata Anil Babu Polisetty 1, B.R.Narendra 2 PG Student [PE], Dept. of EEE, DVR. & Dr.H.S.MIC College of Technology, AP, India 1 Associate
More informationTHE operation of induction motors in the so-called constant
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, VOL. 34, NO. 4, JULY/AUGUST 1998 813 A New Induction Motor V/f Control Method Capable of High-Performance Regulation at Low Speeds Alfredo Muñoz-García, Thomas
More informationNew Direct Torque Control of DFIG under Balanced and Unbalanced Grid Voltage
1 New Direct Torque Control of DFIG under Balanced and Unbalanced Grid Voltage B. B. Pimple, V. Y. Vekhande and B. G. Fernandes Department of Electrical Engineering, Indian Institute of Technology Bombay,
More informationTO OPTIMIZE switching patterns for pulsewidth modulation
198 IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 44, NO. 2, APRIL 1997 Current Source Converter On-Line Pattern Generator Switching Frequency Minimization José R. Espinoza, Student Member, IEEE, and
More informationAnalysis and Comparison of DTC Technique in 2 Levels & 3 Level Inverter Fed Induction Motor Drive
Analysis and Comparison of DTC Technique in 2 Levels & 3 Level Inverter Fed Induction Motor Drive Champa Chauhan Electrical engineering MEFGI Abstract- Two level inverter fed technique has dynamic performances
More informationHysteresis Controller and Delta Modulator- Two Viable Schemes for Current Controlled Voltage Source Inverter
Hysteresis Controller and Delta Modulator- Two Viable Schemes for Current Controlled Voltage Source Inverter B.Vasantha Reddy, B.Chitti Babu, Member IEEE Department of Electrical Engineering, National
More informationA new application of neural network technique to sensorless speed identification of induction motor
Leonardo Electronic Journal of Practices and Technologies ISSN 1583-1078 Issue 29, July-December 2016 p. 33-42 Engineering, Environment A new application of neural network technique to sensorless speed
More informationOptimum Harmonic Reduction With a Wide Range of Modulation Indexes for Multilevel Converters
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 49, NO. 4, AUGUST 2002 875 Optimum Harmonic Reduction With a Wide Range of Modulation Indexes for Multilevel Converters Siriroj Sirisukprasert, Student
More informationSimulation of Speed Control of Induction Motor with DTC Scheme Patel Divyaben Lalitbhai 1 Prof. C. A. Patel 2 Mr. B. R. Nanecha 3
IJSRD - International Journal for Scientific Research & Development Vol. 3, Issue 09, 2015 ISSN (online): 2321-0613 Simulation of Speed Control of Induction Motor with DTC Scheme Patel Divyaben Lalitbhai
More informationDigital PWM Techniques and Commutation for Brushless DC Motor Control Applications: Review
Digital PWM Techniques and Commutation for Brushless DC Motor Control Applications: Review Prof. S.L. Tade 1, Ravindra Sor 2 & S.V. Kinkar 3 Professor, Dept. of E&TC, PCCOE, Pune, India 1 Scientist, ARDE-DRDO,
More informationAdvanced Digital Motion Control Using SERCOS-based Torque Drives
Advanced Digital Motion Using SERCOS-based Torque Drives Ying-Yu Tzou, Andes Yang, Cheng-Chang Hsieh, and Po-Ching Chen Power Electronics & Motion Lab. Dept. of Electrical and Engineering National Chiao
More informationLARGE ac-drive applications have resulted in various
IEEE TRANSACTIONS ON POWER ELECTRONICS, VOL. 13, NO. 4, JULY 1998 617 Symmetric GTO and Snubber Component Characterization in PWM Current-Source Inverters Steven C. Rizzo, Member, IEEE, Bin Wu, Member,
More informationModeling and Simulation Analysis of Eleven Phase Brushless DC Motor
Modeling and Simulation Analysis of Eleven Phase Brushless DC Motor Priyanka C P 1,Sija Gopinathan 2, Anish Gopinath 3 M. Tech Student, Department of EEE, Mar Athanasius College of Engineering, Kothamangalam,
More informationDesign and Implementation of PID Controller for a two Quadrant Chopper Fed DC Motor Drive
Research Article International Journal of Current Engineering and Technology ISSN 0 0 INPRESSCO. All Rights Reserved. Available at http://inpressco.com/category/ijcet Design and Implementation of PID Controller
More informationEnergy Saving Scheme for Induction Motor Drives
International Journal of Electrical Engineering. ISSN 0974-2158 Volume 5, Number 4 (2012), pp. 437-447 International Research Publication House http://www.irphouse.com Energy Saving Scheme for Induction
More informationPerformance Analysis of Induction Motor Drive Fed by VSI for Various Modulation Index
Performance Analysis of Induction Motor Drive Fed by VSI for Various Modulation Index Amit Kumar Sharma 1, Ashok Kumar Sharma 2, Kavita Nagar 3 123 Department of Electrical Engineering, University College
More informationAdvanced Direct Power Control for Grid-connected Distribution Generation System Based on Fuzzy Logic and Artificial Neural Networks Techniques
International Journal of Power Electronics and Drive System (IJPEDS) Vol. 8, No. 3, September 2017, pp. 979~989 ISSN: 2088-8694, DOI: 10.11591/ijpeds.v8i3.pp979-989 979 Advanced Direct Power Control for
More informationAustralian Journal of Basic and Applied Sciences. Simulation and Analysis of Closed loop Control of Multilevel Inverter fed AC Drives
AENSI Journals Australian Journal of Basic and Applied Sciences ISSN:1991-8178 Journal home page: www.ajbasweb.com Simulation and Analysis of Closed loop Control of Multilevel Inverter fed AC Drives 1
More informationMODELING AND ANALYSIS OF IMPEDANCE NETWORK VOLTAGE SOURCE CONVERTER FED TO INDUSTRIAL DRIVES
Int. J. Engg. Res. & Sci. & Tech. 2015 xxxxxxxxxxxxxxxxxxxxxxxx, 2015 Research Paper MODELING AND ANALYSIS OF IMPEDANCE NETWORK VOLTAGE SOURCE CONVERTER FED TO INDUSTRIAL DRIVES N Lakshmipriya 1* and L
More informationA Detailed Model of The Space Vector Modulated Control Of A VVVF Controlled Ac Machine Including The Overmodulation Region
A Detailed Model of The Space Vector Modulated Control Of A VVVF Controlled Ac Machine Including The Overmodulation Region Vandana Verma 1, Anurag Tripathi 2 1,2 Authors are with Institute of Engineering.
More information