|تعداد مشاهده مقاله||2,245,292|
|تعداد دریافت فایل اصل مقاله||1,598,080|
|Journal of Electrical and Computer Engineering Innovations (JECEI)|
|مقاله 18، دوره 10، شماره 2، مهر 2022، صفحه 463-476 اصل مقاله (2.57 M)|
|نوع مقاله: Original Research Paper|
|شناسه دیجیتال (DOI): 10.22061/jecei.2022.8709.545|
|H. Salimi ؛ A. Zakipour ؛ M. Asadi|
|Department of Electrical Engineering, Arak University of Technology (AUT), Arak, Iran.|
|تاریخ دریافت: 02 دی 1400، تاریخ بازنگری: 22 فروردین 1401، تاریخ پذیرش: 22 فروردین 1401|
|Background and Objectives: Permanent magnet synchronous motors (PMSM) have received much attention due to their high torque as well as low noise values. However, several PI blocks are needed for field, torque, and speed control of the PMSM which complicates controller design in the vector control approach. To cope with these issues, a novel analytical approach for time-response shaping of the Pi controller in the filed oriented control (FOC) of the PMSM is presented in this manuscript. In the proposed method, it is possible to design the controlling loops based on the pre-defined dynamic responses of the motor speed and currents in dq axis. It should be noted that as decoupled model of the motor is employed in the controller development, a closed loop system has a linear model and hence, designed PI controllers are able to stabilize the PMSM in a wide range of operation.|
Methods: To design the controllers and choose PI gains, characteristic of the closed loop response is formulated analytically. According to pre-defined dynamic responses of the motor speed and currents in dq-axis e.g., desired maximum overshoot and rise-time values, gains of the controllers are calculated analytically. As extracted equation set of the controller tuning includes a nonlinear term, the Newton-Raphson numerical approach is employed for calculation of the nonlinear equation set. In addition, designed system is evaluated under different tests, such as step changes of the references. Finally, it should be noted that as the decoupled models are employed for the PMSM system, hence exact closed loop behavior of the closed loop system can be expressed via a linear model. As a result, stability of the proposed approach can be guaranteed in the whole operational range of the system.
Results: Controlling loops of the closed loop system are designed for speed control of the PMSM. To evaluate accuracy and effectiveness of the controllers, it has been simulated using MATLAB/Simulink software. Moreover, the TMS320F28335 digital signal processor (DSP) from Texas Instruments is used for experimental investigation of the controllers.
Conclusion: Considering the simulation and practical results, it is shown that the proposed analytical approach is able to select the controlling gains with negligible error. It has shown that the proposed approach for rise time and overshoot calculations has at most 0.01% for step response of the motor speed at 500 rpm.
|Electrical Motor Drive؛ Filed Oriented Control (FOC)؛ Permanent Magnet Synchronous Motors (PMSM)؛ Controller Tuning؛ Dynamic Responses|
 H. Mesloub, R. Boumaaraf, M.T. Benchouia, A. Goléa, N. Goléa, K. Srairi, "Comparative study of conventional DTC and DTC_SVM based control of PMSM motor—Simulation and experimental results," Math. Comput. Simul., 167: 296-307, 2020.
 R. Marouane, Z. Malika, "Particle swarm optimization for tuning PI controller in FOC chain of induction motors," in Proc. 2018 4th International Conference on Optimization and Applications (ICOA): 1-5, 2018.
 X. Wang, M. Reitz, E.E. Yaz, "Field oriented sliding mode control of surface-mounted permanent magnet AC motors: Theory and applications to electrified vehicles," IEEE Trans. Veh. Technol., 67: 10343-10356, 2018.
 A. Zakipour, N. Ghaffari, M. Salimi, "State space modeling and sliding mode current control of the grid connected multi-level flying capacitor inverters," J. Electr. Comput. Eng. Innovations, 9(2): 215-228, 2021.
 A.T. Nguyen, M.S. Rafaq, H.H. Choi, J.W. Jung, "A model reference adaptive control based speed controller for a surface-mounted permanent magnet synchronous motor drive," IEEE Trans. Ind. Electron., 65: 9399-9409, 2018.
 J. Zhang, H. Yang, T. Wang, L. Li, D.G. Dorrell, D.D.C. Lu, "Field-oriented control based on hysteresis band current controller for a permanent magnet synchronous motor driven by a direct matrix converter," IET Power Electron., 11: 1277-1285, 2018.
 M. Sreejeth, M. Singh, "Performance analysis of PMSM drive using hysteresis current controller and PWM current controller," in Proc. 2018 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS): 1-5, 2018.
 S. Wang, D.D. Xu, C. Li, "Dynamic control set-model predictive control for field-oriented control of VSI-PMSM," in Proc. 2018 IEEE Applied Power Electronics Conference and Exposition (APEC): 2630-2636, 2018.
 W. Zhang, W. Yang, W. Yan, D. Xu, "Improved finite control set model predictive control for permanent magnet synchronous motor drives," in Proc. 2019 Chinese Control Conference (CCC): 2977-2982, 2019.
 Y. Ahmed, A. Hoballah, E. Hendawi, S. Al Otaibi, S.K. Elsayed, N.I. Elkalashy, "Fractional order PID controller adaptation for PMSM drive using hybrid grey wolf optimization," Int. J. Power Electron. Drive Syst. (IJPEDS), 12: 745-756, 2021.
 H. Celik, T. Yigit, "Field-oriented control of the PMSM with 2-DOF PI controller tuned by using PSO," in Proc. 2018 International Conference on Artificial Intelligence and Data Processing (IDAP): 1-4, 2018.
 O. EROL, M. AKTAŞ, Y. ALTUN, "Obtaining of PI control parameters for vector controlled PMSM," in Proc. Int. Conf. Hydraul. Pneum. Tools, Seal. Elem. Fine Mech. Specif. Electron. Equip. Mechatronics, 2017.
 G. Demir, R.A. Vural, "Speed control method using genetic algorithm for permanent magnet synchronous motors," in Proc. 2018 6th International Conference on Control Engineering & Information Technology (CEIT): 1-6, 2018.
 A.A. Abd Samat, M. Zainal, L. Ismail, W.S. Saidon, A.I. Tajudin, "Current PI-gain determination for permanent magnet synchronous motor by using particle swarm optimization," Ind. J. Electric. Eng. Comput. Science, 6: 412-421, 2017.
 T.M. Reda, K.H. Youssef, I.F. Elarabawy, T.H. Abdelhamid, "Comparison between optimization of PI parameters for speed controller of PMSM by using particle swarm and cuttlefish optimization," in Proc. 2018 Twentieth International Middle East Power Systems Conference (MEPCON): 986-991, 2018.
 R. Pilla, T.S. Gorripotu, A.T. Azar, "Tuning of extended Kalman filter using grey wolf optimisation for speed control of permanent magnet synchronous motor drive," Int. J. Autom. Control, 15: 563-584, 2021.
 S. Sakunthala, R. Kiranmayi, P.N. Mandadi, "Investigation of PI and fuzzy controllers for speed control of PMSM motor drive," in Proc. 2018 International Conference on Recent Trends in Electrical, Control and Communication (RTECC): 133-136, 2018.
 W.A.A. Salem, G. F. Osman, S.H. Arfa, "Adaptive neuro-fuzzy inference system based field oriented control of PMSM & speed estimation," in Proc. 2018 Twentieth International Middle East Power Systems Conference (MEPCON): 626-631, 2018.
 S.C. Chen, H.K. Hoai, "Studying an adaptive fuzzy PID controller for PMSM with FOC based on MATLAB embedded coder," in Proc. 2019 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW): 1-2, 2019.
تعداد مشاهده مقاله: 260
تعداد دریافت فایل اصل مقاله: 144