电机与控制应用2017，Vol.44Issue(11)：55-60,71,7.
基于果蝇-蛙跳模糊神经网络PID的永磁直线同步电机控制
Permanent Magnet Linear Synchronous Motor PID Control Based on Fruit Fly Optimization Algorithm-Frog Leaping Algorithm and Fuzzy Neural Network
摘要
Abstract
According to the nonlinear,time-varying and strong coupling of the servo system of permanent magnet linear synchronous motor (PMLSM),a speed control strategy based on fuzzy neural network PID was designed,through fruit fly optimization algorithm (FOA) and frog leaping algorithm (FLA) made fruit fly optimization algorithm-frog leaping algorithm (FOA-FLA),it real time adjust and optimized the structure parameters of fuzzy neural network,the output were suitable for PID controller of the best parameters kp 、ki 、kd,it had realized adaptive and intelligent control for PMLSM speed control.Simulation analysis and experimental results showed that,Using the PID speed controller of fuzzy neural network based on FOA-FLA,the permanent magnet linear synchronous motor control system could get better control effect.关键词
永磁直线同步电机/模糊神经网络/果蝇-蛙跳算法/PID控制Key words
permanent magnet linear synchronous motor (PMLSM)/fuzzy neural network/fruit fly optimization algorithm-frog leaping algorithm (FOA-FLA)/PID control分类
信息技术与安全科学引用本文复制引用
乔维德..基于果蝇-蛙跳模糊神经网络PID的永磁直线同步电机控制[J].电机与控制应用,2017,44(11):55-60,71,7.
