Fuzzy Control for Flux Weakening of Hybrid Exciting Synchronous Motor Based on Particle Swarm Optimization Algorithm

This paper proposes a fuzzy control method combining with particle swarm optimization (PSO) algorithm for the flux weakening control of hybrid excitation synchronous motor (HESM). A total copper loss minimization model is established to determine the optimal field current, d-axis and q-axis currents in low speed region. In order to improve the dynamic characteristic and decrease the harmful influence of parameters variation on HESM's operation, a fuzzy control method is employed in high speed rang. Meanwhile, to improve the efficiency, the PSO algorithm is applied to current optimization during steady state operation. Simulation results show that higher efficiency HESM system can be implemented by adopting the proposed control method.

[1]  Chunjiang Qian,et al.  Particle swarm optimization for PID tuning of a BLDC motor , 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

[2]  Ching Chuen Chan,et al.  Novel permanent magnet motor drives for electric vehicles , 1996, IEEE Trans. Ind. Electron..

[3]  S. Shinnaka.  New Dynamic Mathematical Model and New Dynamic Vector Simulators of Hybrid-Field Synchronous Motor , 2005, IEEE International Conference on Electric Machines and Drives, 2005..

[4]  K. T. Chau,et al.  Optimal efficiency control of PM hybrid motor drives for electrical vehicles , 1997, PESC97. Record 28th Annual IEEE Power Electronics Specialists Conference. Formerly Power Conditioning Specialists Conference 1970-71. Power Processing and Electronic Specialists Conference 1972.

[5]  K.R. Rajagopal,et al.  PM Synchronous Motor Speed Control Using Hybrid Fuzzy-PI With Novel Switching Functions , 2009, IEEE Transactions on Magnetics.

[6]  Shinji Shinnaka,et al.  New Optimal Current Control Methods for Energy-Efficient and Wide Speed-Range Operation of Hybrid-Field Synchronous Motor , 2005, IEEE Transactions on Industrial Electronics.

[7]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[8]  Ahmed Rubaai,et al.  Experimental verification of a hybrid fuzzy controller for a high performance brushless DC drive system , 1999, Conference Record of the 1999 IEEE Industry Applications Conference. Thirty-Forth IAS Annual Meeting (Cat. No.99CH36370).