基于免疫遗传算法的感应电机控制设计与仿真研究

Design and simulation research of IM control based on Immune-Genetic Algorithm

提出一种基于免疫遗传算法(IGA)的递归模糊神经网络(RFNN)控制器的设计方法,并应用于感应电机双闭环控制系统中的转速控制器中,对感应电机实现了精确的速度控制。在与传统PI控制和递归模糊神经网络控制仿真比较中,采用该方法的系统显示出良好的控制性能和控制效果。

According to the mathematical model of a permanent magnetism synchronous motor（IM）,a novel design method of the recursive fuzzy-neural network（RFNN） controller based on Immune-Genetic Algorithm（IGA）is proposed for applying in speed controller of IM double close-loop vector control system to realize the accurate speed control.The simulation comparison with traditional PI control and RFNN control show that the system based on this method of RFNN has better control performances and effects.