参数自调整模糊控制在异步电动机矢量控制系统中的应用

Self-adjusting Fuzzy Controller for Vector-controlled Induction Motor Drive

针对异步电机矢量控制系统因电机参数变化和负载波动等因素性能变差的问题,提出一种基于参数自调整模糊控制方法的交流调速系统,这种自调整模糊控制器可以根据输入变量的大小调整模糊控制器的量化因子、比例因子和两个输入变量的权重,从而自动调整模糊控制规则。仿真和实验结果说明,具有自调整模糊控制器的异步电机矢量控制系统不仅动态和稳态性能都得到提高,而且具有较强的鲁棒性。

A self-adjusting fuzzy controller （SAFC） is designed to improve the performance of vector-controlled systems during parameter variations and load disturbances. The controller adjusts the fuzzy rule base by adjusting the fuzzy controller parameters and the weights of each input variable. Simulation and experimental results show that the system improves the fuzzy controller＇s steady-state precision and dynamic performance and is very robust.