[关键词]
[摘要]
针对永磁直线同步电机(PMLSM)伺服系统存在的非线性、时变性及强耦合性,设计一种基于模糊神经网络PID的速度控制策略,通过融合果蝇优化算法和蛙跳算法形成果蝇-蛙跳算法,实时调整优化模糊神经网络的结构参数,输出适用于PID控制器的最佳参数kp、ki、kd,实现PMLSM速度控制的自适应和智能化。仿真分析与试验结果表明,采用基于果蝇-蛙跳算法优化的模糊神经网络PID速度控制器,能使PMLSM控制系统取得更加优良的控制效果。
[Key word]
[Abstract]
According to the nonlinear, timevarying 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 algorithmfrog leaping algorithm (FOAFLA), 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 FOAFLA, the permanent magnet linear synchronous motor control system could get better control effect.
[中图分类号]
TM 301.2
[基金项目]