永磁同步电机的滑模抗饱和控制策略

Sliding Mode Control Strategy with Anti-windup for Permanent Magnet Synchronous Motor

针对永磁同步电机(PMSM)的速度控制问题,本文提出的滑模抗饱和控制策略具有响应迅速、抖振小和超调小的优点.所提方法主要创新有:其一,针对滑模控制的抖振及调节时间过长问题,利用径向基神经网络(RBFNN)代替滑模控制的切换控制极大地削弱系统的抖振同时缩短系统调节时间;其二,考虑PMSM这样一个物理受限系统的饱和效应对系统超调的影响,在设计比例积分滑模面的积分项时引入指数型系数同时设计比例积分分离型反馈抑制抗饱和措施.仿真结果表明该策略在电机速度控制中能够有效改善系统超调同时削弱滑模控制存在的抖振问题.

To address the speed control problem of the permanent magnet synchronous motor( PMSM),we present a sliding mode control strategy with anti-windup strategy. The strategy has advantages such as quick response,weak chattering,and overshoot. The main work involves the following: First,to weaken the chattering and reduce the adjust time of sliding mode control,we replace switch control by using radial basis function neural network,which greatly weakens the chattering and decreases the settling time. Second,considering the saturation effect on system overshoot given that the motor is a physical limited object,we introduce the attractor exponential coefficient to the design of an integral part of the sliding mode surface and feedback inhibition.We introduce an anti-windup strategy with separation type of proportional integral to the system. Simulation results show that the proposed method can effectively weaken the overshoot and the chattering in sliding mode control to address the speed control problem of PMSM.