基于自调整模糊控制的直线电机矢量控制系统

Vector Control System Based on Self-adjusting Fuzzy Controller for Linear Motor

针对直线感应电机矢量控制系统因电机参数变化和负载波动等因素而性能变差的问题,提出了一种参数自调整模糊控制方法。该方法根据直线电机速度误差E和误差变化率EC的大小来自动修正速度模糊控制器的量化因子和比例因子,同时改变了E和EC作用的权重。应用MATLAB软件设计基于自调整模糊控制器的直线感应电机矢量控制系统仿真模型并进行仿真研究。仿真结果说明,这种参数自调整模糊控制方法能使直线电机控制系统的动态和稳态性能都得到提高,而且具有较强的鲁棒性。

Considering the influence on vector oriented control system by the variation of motor parameter and load disturbance, a self-adjusting fuzzy control method is presented. The quantification factor and proportion factor of self-adjusting fuzzy controller can automatically fulfill the on-line adjustment according to the value of E and EC, and simultaneously change the weight of E and EC. The MATLAB software is used to establish the linear induction motor （LIM）vector-controlling model based on the self-adjusting fuzzy controller to carry out a simulation investigation. The results show that LIM slip frequency vector control is more robust than PI control, and both the static and dynamic features of the system are improved greatly.