摘要
将粒子群算法与传统的PID控制器相结合,并采用平方误差矩积分函数作为适应度判据,构成了PSO-PID控制器,该控制器能够在线优化PID控制器参数。仿真结果表明,在系统工况发生变化时,新型控制器能够取得满意的控制效果。
Based on particle swarm optimization (PSO) and classical PID controlling theory, an PSO - PID controller, using ITSE function as fitness function, was developed. The PSO - PID controller can search the optimal controller parameters on - line. The results show that the PSO - PID controller achieves better performance than the classic one, especially, in the circumstance of working condition variation.
出处
《机床与液压》
北大核心
2005年第10期87-88,共2页
Machine Tool & Hydraulics
基金
国家自然科学基金资助项目(50175097)