Research On Fuzzy Adaptive Backstepping Speed-regulated System Of PMSM

The PI control is widely applied in permanent magnet synchronous motor(PMSM) speed-regulated system. The traditional PI control is a linear control strategy, only work well when parameter matching. It is difficult to the PI controller with fixed parameters to balance the stability and rapidity of the speed-regulated system because PMSM is a strongly coupled nonlinear system. This paper combines the nonlinear intelligent control theory with PMSM control system to improve the performance of the speed-regulated system.At first, this paper combines the fuzzy control and PI control, tuning PI parameter on-line by the way of self-tuning gain. When the speed error is positive or negative, fuzzy rules of the traditional fuzzy self-tuning gain PI control for Kp and Ki is unidirection. This make it only suitable for accelerating. This paper proposes a new type of fuzzy rules for accelerating and decelerating. Combining with the integral reset to reduce the influence of the integral saturation and the number of parameters need to adjust. The difficulty of the software implementation is reduced by symmetrical membership function and variable scale factor.Secondly, this paper analyzes the backstepping control. Considering the uncertain parameter when the motor running, using backstepping adaptive control theory to design the control rule that can guarantee the speed-regulated system stable. Combining fuzzy control with backstepping adaptive control to tuning parameters on-line of the backstepping adaptive controller in order to improve the performance of the speed-regulated system further.The simulation and experiment results show that the proposed method is effective.