无刷直流电动机模糊神经网络PI控制方法

通过分析无刷直流电动机模糊PI控制的不足,在对传统模糊-PI混合控制策略进行改进的基础上,提出模糊神经网络PI控制策略。该策略是建立在用基本样条函数实现BLDCM模糊神经网络速度控制器新方法基础之上。通过调整模糊神经网络中唯一需要优化的权值系数,以达到模糊神经网络参数自动调整与寻优的目的,从而提高了系统的动态响应和鲁棒性。仿真结果表明,该方法响应快、无超调、鲁棒性强。

Fuzzy Neural Network PI Control Methed of Brushless DC Motor

Through the analysis of the deficiency of the fuzzy PI method of brushless DC motor (BLDCM), a fuzzy neural network PI control method is proposed in this paper based on the traditional fuzzy PI control strategy.This strategy absorbs a basic sample function to implement the fuzzy neural network speed controller.Through adjusting the only optimization coefficient,the parameters of the fuzzy nueral network will be regulated and optimized automatically,so this strategy improved the dynamic response of BLDCM system.Simulation results indicate that the method can work well with high dynamic and static performance,quick response and good robustness.