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.