Design New control System for Brushless DC motor Using SVPWM

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International Journal of pplied Engineering Research ISSN 973-4562 Volume 3, Number (28) pp. 582-589 Design New control System for rushless D motor Using SVPWM Farazdaq Rafeeq Yasien and Roaa bbas mahmood,2 Department of ontrol and Systems Engineering, University of Technology, aghdad, Iraq. 2 Department of Renewable Energies, Ministry of Science and Technology, aghdad, Iraq. bstract The conventional control system in a rushless D (LD) motor uses the Hall sensors for determining the position of the rotor that is needed for calculation of the back EMFs to generate the pulse width modulation (PWM) for three-phase inverter. However, these position sensors increase cost, size, noise signals and complexity in the control system. Therefore, this paper presents a new control system of the LD motor proposed through the elimination of the Hall sensors feedback signals and it depends on the motor speed feedback signal only. new control system used the space vector modulation (SVPWM) technique to generate the PWM switching to threephase inverter derive. PI controller has been used for the speed control of LD motor. Results obtained from comparison between the new control system (NS) and conventional control system (S) of LD motor. The simulation tests for LD motor in a MTL/Simulink environment show that the NS of LD motor is better than the S in tested in terms of transient response under different mechanical loads and speeds. Keywords: LD motor, PWM, SVPWM, three phase inverter, and PI controller. INTRODUTION The LD motors are rapidly gained popularity and become widely used in various consumer and industrial systems because of their better characteristics and performance. LD motor has several advantages over conventional D motors and some of these are High efficiency, higher dynamic response, etter speed versus torque characteristics, Higher speed ranges, Long life operating, less noise operation, Less electromagnetic interference, ompact size, and better heat dissipation. LD motors are most commonly employed for robotics, computer peripherals, actuating drives, machine tools, electric propulsion and also for electrical power generation. With the development of sensorless technology besides digital control, these motors become so effective in terms of total system cost, size and reliability []. LD motor is type of permanent magnet synchronous motor (PMSM) which is driven by direct current and it accomplishes electronically controlled commutation system to produce rotational torque in the motor by changing phase currents depending on the rotor position. Most LD motors have three Hall sensors for rotor position sensing where they either embedded into the stationary part of the motor or magnets on the rotor, but there are several drawbacks when such types of position sensors are used. The main drawbacks are the increased cost, size of the motor, and a special arrangement needs to be made for mounting the sensors. Further, Hall sensors are temperature sensitive and hence the operation of the motor is limited, which could reduce the system reliability because of the extra components and wiring [2]. Pulse width modulation (PWM) switching techniques are main part in the control system on the brushless D motor drive. It's adjusted the three-phase bridge inverter to generate three-phase voltages controlling the LD motor. Many PWM switching techniques,, including the sinusoidal PWM (SPWM), carrier based PWM, selective harmonic elimination PWM, etc. are used for inverter controllers [3]. Space vector PWM (SVPWM) is one of the best methods because of its capability to minimize harmonic distortion. This approach is improved to achieve a high output voltage, minimize the harmonic output, and reduce the switching losses relative to other PWM techniques [4]. In the present study new control system of LD motor proposed through the elimination of the Hall sensors feedback signals and it depends on the speed motor feedback signal only. new control system used the SVPWM technique to generate the PWM switching to three-phase inverters derive. PI controller has been used for the speed control of LD motor. ONTROL SYSTEM OF LD MOTOR DRIVE The control system model of LD motor drive is designed through three main parts, which are LD motor, three-phase inverter and control system (PWM technique and speed controller) [5]. Figure shows the block diagram configuration of control system scheme for LD motor. ωrm* + - ωrm Speed ontroller Vdc S PWM Switching Technique Three-Phase ridge Inverter Hall Sensor Detection Ha Hb Hc LD Motor ωrm Mechanical Load Speed sensor Figure : lock diagram of control system for LD motor drive. 582

International Journal of pplied Engineering Research ISSN 973-4562 Volume 3, Number (28) pp. 582-589 TRDITIONL ONTROL SYSTEM DESIGN PROEDURE ontrol system of LD motor required into main parts as shown in Figure. ontrol system required to four feedback signals, which are three hall sensor signals and speed motor signal. The speed motor signal takes from speed sensor and it subtract from reference speed signal to generate the speed error signal. Speed controller is received the error signal to generate the voltage source controller signal to three phase bridge inverter. Three-phase bridge inverter consists of six IG switches as shown in Figure. Each switch has a freewheeling diode that protects the device from reverse voltage when the switch is turned off. The six switches are divided into two groups; the positive group comprising upper switches S,, and and the negative group comprising switches,, and. Each phase has a pair of switches connected in parallel to the D source. The controlled power flows to the load when the switches are tuned on and off. This tuning is created through the gates of the IG, which are received from the PWM switching signals associated with the control system. s for the Hall sensors feedback signals are produced the PWM waveforms through passing the Hall sensor detector and PWM switching techniques as shown in Figure. The Hall sensors are the most common sensor for predicting the rotor position of LD motor drive. The LD voltage vector is divided into six sectors, which is just a one-to-one correspondence with the Hall signal six states, as shown in Figure 2 [6]. Table : ommutation sequence of Hall sensor signal Rotor position (Degree) Hall sensor signal H H H L L L -6 6-2 2-8 8-24 24-3 3-36 PI SPEED ONTROLLER The closed loop speed control methods are traditionally implemented by conventional PI controllers. It is considered the most control technique that is widely used in control applications and it provides robust and reliable performance for most systems if the coefficients are tuned properly. Figure 3 shows the construction of a PI speed controller that receives an error speed signal from the LD motor. Thus, this controller generates an output signal that consists of the sum of errors and the integral of that error, as shown in the equation below: where is the error, is the control output signal, is the proportional gain, and is the integral gain. The performance of the PI speed controller mainly depends on the selected suitable PI parameters. Each parameter plays an important role in controlling the LD motor as shown in the Table 2 [8]. Type Table 2: haracteristics of PI control parameters Rise time Decrease Overshoot Increase Settling time Small change Steady state error Decrease Decrease Increase Increase Eliminate Figure 2: Six sectors of the LD motor voltage vector Hall sensor detects rotor position to generate the controls switching of MOSFE or IG in three-phase bridge inverter drive for rotor position. Table () shows sequence for clock wise rotation when seen from shaft end. Hall sensor signals are 3-bit digit formed., and Hall sensors, while H, H, H are upper switches drive and L, L, L are lower switches drive. PWM is produced from the commutation sequence of hall sensor signal to control of three-phase inverter switches drive [7]. Figure 3: onstruction of PI speed controller NEW ONTROL SYSTEM DESIGN PROEDURE In this paper, new control system of LD motor proposed through the elimination of the Hall sensors feedback signals 583

International Journal of pplied Engineering Research ISSN 973-4562 Volume 3, Number (28) pp. 582-589 and it depends on the speed motor feedback signal only as shown in Figure 4. new control system is based on the space vector PWM technique to generate the PWM switching to three-phase inverter derives. The space vector PWM technique is received the speed motor signal converting to rotor angle to generate two voltages as shown in Figure 5. ωrm* + - ωrm e PI Speed ontroller Vdc Three-Phase ridge Inverter S LD Motor Mechanical Load Speed sensor ngle (Degree) 8 5 5-5- -5-8.3.32.34.36.38.4 Figure 6: Waveform for 5 cycles for angle SVPWM Switching Technique ωrm 6 Figure 4: New control system of LD motor 5 V alph and V beta.8.6.4.2 -.2 -.4 -.6 -.8 -.3.32.34.36.38.4 Figure 5: 5 cycles for waveforms Number of sector 4 3 2.3.32.34.36.38.4 Figure 7: Waveform for 5 cycles for number of sector Six sectors between the vectors is generated the hexagon frame as shown in Figure 8 [6]. Two-phase voltages are used to obtain the magnitude of the reference voltage vector and the angle between the voltage vectors using the Equation (2) and (3). Figure 6 shows the angle ( Figure 7 shows the number of sector. ) for one cycle and also V4 V3 V2 Vβ Sector2 Sector Sector3 Vref Vα V V7 Sector4 Sector6 V Sector5 V5 V6 Figure 8: Hexagon diagram SVPWM SWITHING TEHNIQUE INVERTER The SVPWM technique is used to generate the PWM control signals in the three-phase inverter. This approach is improved 584

International Journal of pplied Engineering Research ISSN 973-4562 Volume 3, Number (28) pp. 582-589 to achieve a high output voltage, minimize the harmonic output, and reduce the switching losses relative to other PWM techniques. Moreover, the SVPWM technique is an advanced computation intensive PWM method and is possibly the best technique for VFD applications. Therefore, the SVPWM technique is one of the best methods because of its capability to minimize harmonic distortion. s shown in Figure 9, the upper IG (S,, and are equivalent to ) are switched on, whereas the corresponding lower IG (, and are equivalent to ) are switched off. The on and off states of the upper IG (i.e., S, and ) can be used to determine the output voltage. The relationship between the positive switching variable and the line-to-line voltages as well as the line-toneutral voltages can be expressed as follows [8]. Table 3: Switching pattern of voltage space vectors The SVPWM technique receives a three-phase voltage separated by 2 degrees between two phases and converts it into two phases with difference angle of 9 degrees using lark s transformation Figure (8). The two-phase voltages are used to obtain the magnitude of the reference voltage vector and the angle between the voltage vectors in the hexagon. and are located between the two adjacent non-zero vectors and the zero vectors, and they can be calculated as follows [9]. The six IG in the inverter can form eight switch variables. Six of these switch variables are non-zero vectors (i.e., ), and the rest are zero vectors (i.e., selected for the three upper IG switches. The on and off patterns of the lower IG switches are opposite to those of the upper switches. The voltage space vectors are determined Equations (4) and (5). The eight switching vectors, output line-to-neutral voltages, and output line-to-line voltages are shown in Figure 9 and Table 3. The working principle of the SVPWM divides the output wave of the inverter into six sectors in a hexagon shape. Each sector lies between two voltage space vectors while the sector angle is 6 degree apart Figure (9) [9]. is in sector, and can be synthesized by the vectors adjacent to it in that sector. Figure shows the corresponding space vectors and time durations in sector. The time duration of is calculated through the product of the reference voltage and its sampling time period equal to the sum of the voltages multiplied by their time interval of space vectors in the chosen sector as shown in the following. V (,,) V (,,) V2 (,,) V3 (,,) where is the switching time calculated by T s f and is the switching frequency. s shown in Equation (7), applies a zero voltage to the output load. onsequently, the equation becomes: s Substituting the values of and from Table (3) to the frame and analyse the voltage vectors yield the following: V4(,,) V5 (,,) V6 (,,) V7 (,,) Figure 9: Eight states for the inverter voltage vectors 585

International Journal of pplied Engineering Research ISSN 973-4562 Volume 3, Number (28) pp. 582-589 Table 4: Switching time calculation at each sector Sector switching switching The modulation index (MI) for the SVPWM is the relationship between the reference voltage magnitude and the D voltage value shown in the following equation (Durgasukumar & Pathak 22). 2 The time duration in the other sectors can be calculated by substituting Equation (3) into Equations () and (2) and by using 6 degrees with for each sector to become: 3 4 The four types of switching patterns are as follows: symmetric sequence, right aligned sequence, alternating zero vector sequence, and highest current not switched sequence []. ll switching patterns must satisfy the following two conditions to minimize the device switching frequency. The change of the switching state from one to another involves only two switches in the same inverter leg. If either one of the switches is tuned on, then the other must be tuned off to reduce the switching frequency. The movement of from one sector to the next is achieved with the minimum number of switching to reduce the switching losses. Researchers have proven and recommended that the symmetric sequence method is the best method because it reduces the switching losses. Table 4 and Figure show the presses for the symmetric sequence for each sector [7]. 5 6 T/2 T T2 T/2 T/2 T2 T T/2 T/2 T2 T T/2 T/2 T T2 T/2 S S (a) (b) 586

International Journal of pplied Engineering Research ISSN 973-4562 Volume 3, Number (28) pp. 582-589 T/2 T T2 T/2 T/2 T2 T T/2 T/2 T2 T T/2 T/2 T T2 T/2 S S (c) (d) T/2 T T2 T/2 T/2 T2 T T/2 T/2 T2 T T/2 T/2 T T2 T/2 S S (e) Figure : SVPWM switching patterns in (a) sector, (b)sector 2, (c) sector 3, (d) sector 4, (e) sector 5, and (f) sector 6 (f) Figure shows the SVPWM signal generation, inverter output voltages, and comparison of the three signals of the duty ratio waveform with the triangular waveform. This comparison is based on the condition, in which case ; otherwise,. In a bipolar switching scheme, each switch works opposite to the facing switch, similar to the case involving the comparison of the with the triangle waveform to generate the PWM signal for IGT and the opposite IGT4 in leg, which is the same as leg2 and leg3 [9]. x -3 Ta DutyRatio Tb DutyRatio.5 Tc DutyRatio.5 S S.5 3 S.5 5 V5 dc V Triangle.2.4.6.8..2.4.6.8.2.4.6.8..2.4.6.8.2.4.6.8..2.4.6.8.2.4.6.8..2.4.6.8 V ab -V -5 dc 4 2/3V.5..5 2 V Figure dc : SVPWM waves and voltages of a three-phase an -2/3V -2 inverter -4 dc.5..5.2 The simulation model of the SVPWM technique is designed in MTL/Simulink in two steps. In the first step, the reference voltage, angle, and number of sectors are determined. Two voltages are received with this technique. The phase angle between the voltages is 9 degree. are transferred to the reference voltage and the angle as shown in Equations (6). Figure (2) shows the simulation model of the first step. In the second step, the simulation model receives three signals and the D voltage and switching time values are fixed. The times duration are then calculated through the Equations (4), (5) and (6). Table (4) is used to determine the switching patterns in each sector. Figure (3) presents the simulation model of these calculations. In the final step of SVPWM simulation model, the switching signals to the IGT devices are generated by comparing the duty ratio with the up-triangle signal to generate the PWM for each IGT device. Figure 2: Simulation model of reference voltage, theta and number of sectors. 587

International Journal of pplied Engineering Research ISSN 973-4562 Volume 3, Number (28) pp. 582-589 Figure 3: Simulation model of reference voltage, theta and number of sectors Figure 4: Simulation models of time duration and switching patterns RESULTS The simulation results are based on implementation and control schemes stated in the simulated model in Figure 4. The related results are used to validate the new control system of LD motor. In this work, the results are obtained from comparison between NS and S, classical PI speed controller has been used for a control system of LD motor. Figure 4 shows the speed response for NS and S of LD motor. The NS speed response is achived the best performance than S. Morover, the minimime of maximum overshoot, steady state error and setlling error. Figure 5 shows the three-phase curents for ramp response. This currents present 4.7 from to.5 sec because of the motor operated with no-load and increase the magnitude current until when the motor operated is full load. Figure 6 and Figure 7 show the three-phase voltages and EMFs at the same condition. Figure 8 Electromagnetic Torque developed in N-m. Speed (rpm) 32 3 25 2 5 5 3 28 26.5..5 3 295 29.5.55.6 W ref W S W NS.2.4.6.8 Figure 5: Speed response in rpm verses time. 588

International Journal of pplied Engineering Research ISSN 973-4562 Volume 3, Number (28) pp. 582-589 Iabc () Zoom Iabc () Eabc (V) Zoom Eabc (v) Tem (N.M) 2 - -55-2.2.4.6.8 -.7.75.7.75.72 2 Figure 6: Three phase stator current -2.2.4.6.8 9 5 5-5 - -5-9.7.75.7.75.72 Time(sec) Figure 7: Three Phases back emf induced in the Stator 2.5.5..5 -.5.2.2.22.7.7.72 -.5.2.4.6.8 Figure 8: Electromagnetic Torque developed in N-m ONLUSIONS New control system is proposed to improve the performance of LD motor through elimination from three Hall sensors for a less expensive, more reliable system, fast speed response of LD motor drive by SVPWM switching technique inverter. PI controller has been used for the speed control of LD motor. The results has been obtained clearly displayed that the NS speed response is better than the S speed response in.6.4 terms of robustness, damping capability, and enhancement of transient responses of LD motor. REFERENES []. Niasar,. Vahedi, and H. Moghbelli," Novel Position Sensorless ontrol of a Four-Switch, rushless D Motor Drive Without Phase Shifter" IEEE Transactions on Power Electronics, Volume: 23, PP. 379 387, 28. [2] J. Gamazo-Real, E. V zquez-snchez, and J. Gmez-Gil, "Position and Speed ontrol of rushless dc Motors Using Sensorless Techniques and pplication Trends" Sensors, volume., NO. 7, PP. 69-6947, 2. [3] K. Kumar, P. Michael, J. John and S. Kumar, "Simulation and comparison of SPWM and SVPWM control for three phase inverter" RPN Journal of Engineering and pplied Sciences, volume 5, NO. 7,PP. 6-74, 2. [4] Liang, W., Wang, J., Luk, P.. K., Fang, W. & Fei, W, "nalytical modeling of current harmonic components in PMSM drive with voltage-source inverter by SVPWM technique" IEEE Transactions on Energy onversion, volume 29, PP. 673-68, 24. [5]. Xia, P. Guo, T. Shi and M. Wang,"Speed ontrol of rushless D Motor Using Genetic lgorithim ased Fuzzy ontroller" Proceedings of the 24 International onference on Intelligent Mechatronics and utomation hengdu, PP. 46-464, 24. [6] X. Nian, F. Peng, and H. Zhang," Regenerative raking System of Electric Vehicle Driven by rushless D Motor" IEEE Transactions on Industrial Electronics, volume 6 PP. 2798 288, 24. [7] meer L. Saleh and del. Obed, Speed ontrol of rushless D Motor based on Fractional Order PID ontroller, International Journal of omputer pplications Volume 95, No.4, PP. 975 8887, 24. [8] Mohammed., and S. mahamood, ontrol of Induction Motor Drive using Space Vector PWM, International onference on Electrical, Electronics, and Optimization Techniques (IEEOT), PP. 3344-335, 26. [9] J.Sabarad and G.H. Kulkarni omparative nalysis of SVPWM and SPWM Techniques for Multilevel Inveter International onference on Power and dvanced ontrol Engineering (IPE), PP. 232-237, 25. [] K. V. Kumar, P.. Michael, J. P. John and S. S. Kumar SIMULTION ND OMPRISON OF SPWM ND SVPWM ONTROL FOR THREE PHSE INVERTER, RPN Journal of Engineering and pplied Sciences, VOL. 5, NO. 7, PP. 6-74, 2. 589