基于混沌PID参数寻优的伺服系统控制方法研究

利用混沌运动遍历性和随机性的特点,对PID控制器进行参数寻优。在满足系统稳定前提条件下,通过利用混沌运动的粗寻优和细寻优,最终可以找到性能指标最小的一组参数。把这组参数就作为PID控制器的主要参数。仿真结果证明此方法可以快速稳定地实现PID参数寻优整定,而且所得参数的控制效果与传统参数整定方法相比在响应时间、超调量等方面效果更好。

Study on PID Parameters Optimization Based on Chaos in Servo System

By using the property of chaos ergodicity, a PID controller based on chaos optimization was designed. On the condition of stability, the most excellent parameters can be found with the least performance index by both rude and precision search. These parameters are utilized as the most excellent parameters of the PID controller. By this method, the simulation results show that the parameters of the PID controller can be confirmed and the effect is better than the other methods in response time, overshot and etc.