A Fuzzy Logic Controller Based Vector Control of IPMSM Drives
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Abstract
This paper explores a fuzzy-logic based speed controller of an interior permanent magnet synchronous motor (IPMSM) drive based on vector control. PI controllers were mostly used in a speed control loop based field oriented control of an IPMSM. The fundamentals of fuzzy logic algorithms as related to drive control applications are illustrated. A complete comparison between two tuning algorithms of the classical PI controller and the fuzzy PI controller is explained. A simplified fuzzy logic controller (FLC) for the IPMSM drive has been found to maintain high performance standards with a much simpler and less computation implementation. The Matlab simulink results have been given for different mechanical operating conditions. The simulated results confirmed that the FLC-PI has a lower ripple than the conventional PI controller
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A. Rubaai, D. Rickattes, & M.D. Kankam,"Development and implementation of an adaptive fuzzy-neural network controller for brushless drives", IEEE Transactions on Industry Applications, 38 (2), 2002, 441–447.
Bilmal K.Bose," Modern Power Electronic and AC Drives", ISBN 7-111-11296-2, Prentice Hall, Inc. 2002.
D. Dubois, and H. Prade, Fuzzy Sets and Systems, "Theory and Applications",Academic Press, New York, 1980.
F. Blaschke, "The principle of field orientation as applied to the new transvector closed-loop control system for rotating field machines", Siemens Review, 1972, 217–220.
F.J. Lin & R.J. Wai, "Hybrid controller using a neural network for a PM synchronous servo-motor drive", IEE Proceedings Electric Power Applications, 145 (3), 1998, 223–230.
H.T. Nguyen, M. Sugeno, R. Tong, & R.R. Yager, "Theoretical Aspects of Fuzzy Control", John Wiley & Sons, Inc., 1995.
Jae-Sung Yu, Student, Sang-Hoon Kim, Byoung-Kuk Lee, Chung-Yuen Won, and Jin Hur, "Fuzzy-Logic-Based Vector Control Scheme for Permanent-Magnet Synchronous Motors in Elevator Drive Applications",IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 54, NO. 4, AUGUST 2007.
J. Quiroga, Li Liu, and D. A. Cartes, "Fuzzy Logic based Fault Detection of PMSM Stator Winding Short under Load Fluctuation using Negative Sequence Analysis", 2008 American Control Conference USA,June 11-13, 2008.
J.S. Ko, J.G. Hwang, & M.J. Youn, "Robust position control of BLDD motors using integral-proportional plus fuzzy logic controller", Proc. IEEE IECON, 1993, 213–218.
M.N. Uddin, T.S. Radwan, & M.A. Rahman,"Performances of fuzzy logic based indirect vector control for induction motor drive",IEEE Transactions on Industry Applications, 38 (5), 2002, 1219–1225.
M. Azizur Rahman, D. Mahinda Vilathgamuwa, M. Nasir Uddin,and King-Jet Tseng, "Nonlinear Control of Interior Permanent-Magnet Synchronous Motor",IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, VOL. 39, NO. 2, MARCH/APRIL 2003.
M.N. Uddin, T.S. Radwan, G.H. George, & M.A. Rahman, "Performance of currentcontrollers for VSI-fed IPMSM drive", IEEE Transaction on Industry Applications, 36 (6), 2000, 1531–1538.
M. N. Uddin, T. S. Radwan, and M. A. Rahman, "Performances of fuzzy-logic-based indirect vector control for induction motor drive", IEEE Trans. Ind. Appl., vol. 38, no. 5, pp. 1219–1225, Sep./Oct. 2002.
N. Yubazaki, M. Otani, T. Ashida, & E. Kitamura," Fuzzy motion drive method of induction motor using position sensor", Proc. IEEE IECON, 1993, 170–175.
R.J. Wai, "Development of intelligent position control system using optimal design technique", Power Electronics Specialists Conf., 2, 2001, 760–765.
Sun Qiang, Cheng Ming, and Zhou E,"Integral-Separated Self-Tuning Fuzzy PI Control of A Novel Doubly Salient Permanent Magnet Motor Drive", Electrical Machines and Systems, 2003. ICEMS 2003. Sixth International Conference on Volume 2, 9-11 Nov. 2003 Page(s), 570 –