粒子群蛙跳模糊神经网络的PMSM转速控制器设计  

Design for PMSM Speed Controllor Based on PSO-SFLA and FNN

作　　者：乔维德 QIAO Wei-de(Wuxi Open University,Wuxi 214011,China)

机构地区：[1]无锡开放大学,无锡214011

出　　处：《微特电机》2019年第3期66-69,共4页Small & Special Electrical Machines

摘　　要：设计一种基于粒子群蛙跳算法(PSO-SFLA)优化的递归模糊神经网络(RFNN)控制器,并将它作为PMSM调速系统的转速控制器。仿真分析及实验验证了该系统能抑制常规PI转速控制滞后和动态响应性能较差的缺陷,具有响应快,抗干扰和鲁棒性强的特性。A recursive fuzzy neural network(RFNN)controller based on PSO-SFLA was designed,and use as the speed controller for the permanent magnet synchronous motor(PMSM)control system.Simulation and experimental results show that,the scheme overcomes the defects in lag dynamic response and the poor performance for traditional PI speed control,it has fast response,strong anti-interference and robustness.

关 键 词：永磁同步电机 粒子群蛙跳算法 递归模糊神经网络 转速控制器 

分 类 号：TM351[电气工程—电机]