Transactions on Machine Intelligence

Transactions on Machine Intelligence

Speed Control Of The Interior Permanent Magnet Synchronous Motor Over A Wide Range Using Fuzzy Logic Controller

Document Type : Original Article

Author
M. Bakhtiari
University of Isfahan, Isfahan, Iran
10.47176/TMI.2019.40
Abstract
This paper proposes a Fuzzy Logic Controller (FLC) strategy for efficient speed control of an Interior Permanent Magnet Synchronous Motor (IPMSM) drive system operating across a wide speed range. The controller design incorporates Maximum Torque Per Ampere (MTPA) control for sub-rated speeds and field weakening control for speeds above the rated threshold. A key advantage of the proposed FLC is its ability to manage both torque and flux simultaneously across the entire speed spectrum, enhancing control precision and motor performance. The system's performance is evaluated for a 40 kW IPMSM using MATLAB/Simulink simulations. The results are benchmarked against a conventional Proportional-Integral (PI) controller under various dynamic conditions, including step changes in reference speed and load torque, single-phase disconnection scenarios, and parameter variations. The simulation outcomes highlight the superior performance of the proposed FLC approach in terms of fast dynamic response, robustness to disturbances and uncertainties, effective rejection of load variations, and elimination of overshoot and undershoot. Additionally, the controller achieves minimal settling time and negligible steady-state error, confirming its effectiveness and reliability for advanced motor drive applications.
Keywords
Fuzzy Logic Controller
Flux and Torque Control
Interior Permanent Magnet Synchronous Motor
Speed control
Vector Control
Uddin, M. N., Abido, M. A., & Rahman, M. A. (2005). Real-time performance evaluation of a genetic-algorithm-based fuzzy logic controller for IPM motor drives. IEEE Transactions on Industry Applications, 41(1), 246-252. doi:10.1109/TIA.2004.840995
Ibrahim, Z., & Levi, E. (2002). A comparative analysis of fuzzy logic and PI speed control in high-performance AC drives using experimental approach. IEEE Transactions on Industry Applications, 38(5), 1210-1218. doi:10.1109/TIA.2002.802993
Rahman, M. A., & Hoque, M. A. (1997). On-line self-tuning ANN-based speed control of a PM DC motor. IEEE ASME Transactions on Mechatronics, 2(3), 169-178. doi:10.1109/3516.622969
Yi, S. Y., & Chung, M. J. (1998). Robustness of fuzzy logic control for an uncertain dynamic system. IEEE Transactions on Fuzzy Systems, 6(2), 216-225. doi:10.1109/91.669018
Lin, C. K., Fu, L. C., & Liu, T. H. (2010). Design and implementation of a nonlinear speed controller with adaptive back stepping sliding mode technique for an IPMSM drive system. Στο SICE Annual Conference 2010, Proceedings of (σσ. 110–115). IEEE.
Areed, F. G., Saraya, S. F., & Elsalam, M. M. A. (2010). Adaptive control of a synchronous motor via a sliding mode decomposition technique. Ain Shams Engineering Journal, 1(2), 121-129. doi:10.1016/j.asej.2011.03.005
 
Cernat, M., Comnac, V., Cotorogea, M., Korondi, P., Ryvkin, S., & Cernat, R. M. (2000). Sliding mode control of interior permanent magnet synchronous motors. In Power Electronics Congress, 2000. CIEP 2000. VII IEEE International (pp. 48-53). IEEE. doi:10.1109/CIEP.2000.891390
Pan, C. T., & Sue, S. M. (2005). A linear maximum torque per ampere control for IPMSM drives over full-speed range. IEEE Transactions on Energy Conversion, 20(2), 359-366. doi:10.1109/TEC.2004.841517
Uddin, M. N., & Lau, J. (2004). Adaptive backstepping based nonlinear control of an IPMSM drive. 2004 IEEE 35th Annual Power Electronics Specialists Conference (IEEE Cat. No.04CH37551). Aachen, Germany. doi:10.1109/pesc.2004.1355085
Rahman, M. A., Vilathgamuwa, D. M., Uddin, M. N., & Tseng, K. J. (2003). Nonlinear control of interior permanent-magnet synchronous motor. IEEE Transactions on Industry Applications, 39(2), 408-416. doi:10.1109/TIA.2003.808932
Zhou, J., Wang, Y., & Zhou, R. (2002). Adaptive backstepping control of separately excited DC motor with uncertainties. PowerCon 2000. 2000 International Conference on Power System Technology. Proceedings (Cat. No.00EX409). Perth, WA, Australia. doi:10.1109/icpst.2000.900037
Uddin, M. N., Radwan, T. S., & Rahman, M. A. (2002). Performances of fuzzy-logic-based indirect vector control for induction motor drive. IEEE Transactions on Industry Applications, 38(5), 1219-1225. doi:10.1109/TIA.2002.802990
Mathur, H. D., & Ghosh, S. (2006). A comprehensive analysis of intelligent controllers for load frequency control. In Power India Conference, 2006 IEEE (pp. 5-pp). IEEE. doi:10.1109/POWERI.2006.1632619
Uddin, M. N., & Rahman, M. A. (2003). Fuzzy logic based speed control of an IPM synchronous motor drive. Engineering Solutions for the Next Millennium. 1999 IEEE Canadian Conference on Electrical and Computer Engineering (Cat. No.99TH8411). Edmonton, Alta., Canada. doi:10.1109/ccece.1999.804872
Uddin, M. N. (2003). Comparative analysis of intelligent controllers for high performance interior permanent magnet synchronous motor drive systems. Large Engineering Systems Conference on Power Engineering. Montreal, Que., Canada. doi:10.1109/lescpe.2003.1204678
Abido, M. A., Nasir Uddin, M., & Rahman, M. A. (2003). A new fuzzy logic controller based IPM synchronous motor drive. IEEE International Electric Machines and Drives Conference, 2003. IEMDC’03. Madison, WI, USA. doi:10.1109/iemdc.2003.1210696
Butt, C., & Rahman, M. A. (2004). Limitations of simplified fuzzy logic controller for IPM motor drive. Conference Record of the 2004 IEEE Industry Applications Conference, 2004. 39th IAS Annual Meeting. Seattle, WA, USA. doi:10.1109/ias.2004.1348727
Uddin, M. N. (2011). An adaptive-filter-based torque-ripple minimization of a fuzzy-logic controller for speed control of IPM motor drives. IEEE Transactions on Industry Applications, 47(1), 350-358. doi:10.1109/TIA.2010.2090316
Transactions on Machine Intelligence
Volume 2, Issue 1
Winter 2019
Pages 40-47

  • Receive Date 02 January 2019
  • Revise Date 11 February 2019
  • Accept Date 19 March 2019