关键词: EPS；回正控制；模糊 PID 控制；MPGA

Abstract: Vehicle return to center control is an important factor that determines the quality of the steering system. Aiming at the problems of under-alignment or overshoot in new-energy high-torque commercial vehicles, a fuzzy proportional-integral-differential (PID) control algorithm based on multi-population genetic algorithm (MPGA), optimization is proposed. The electric power steering (EPS) system dynamic model, steering wheel angle estimation model and back-to-center compensation control strategy are established. Then determine the armature voltage of the motor according to the expected output torque, so as to realize the return compensation. The parameters of fuzzy PID controller are optimized by using MPGA. The Simulink simulation test proves that the proposed fuzzy PID control algorithm based on MPGA optimization, compared with the PID control algorithm and fuzzy PID control algorithm, has improved return performance.

Key words: EPS; Return to center control; Fuzzy PID control; MPGA