Simulation of PMSM vector control based on a self-tuning fuzzy PI controller

PMSM vector control system with a proportional-integral (PI) controller exists some defects such as slow speed response, large torque ripple and poor anti interference ability. A new fuzzy PI control method with adjustable proportion factor (APFPI) is proposed in this paper. The proportion factor can be adjusted by RBF neural network (RBFNN) online. In the PMSM vector control system, the current loop will be adjusted by a PI controller and the speed loop will be adjusted by an APFPI controller. The simulation results show that the speed and torque response of PMSM vector control system with APFPI controller has better control performance.