基于遗传算法的仿真转台控制器优化设计与应用

Optimized Design for Simulator's Controller Based on Hybrid Genetic Algorithm and Its Application

针对仿真转台系统的时变性、模型的不确定性等特点,提出采用基于遗传算法的PID自适应控制器,实现控制器参数的在线自寻优。试验结果表明,该控制算法具有很强的鲁棒性、抑制外界干扰性和良好的动态性能。

A adaptive PID controller is presented for the time-variant and uncertainty of simulator system. The self-tuning of PID parameters online is realized using the controller. The experiment results show that the controller has the advantages of strong robustness, good performance of anti-jamming and quickly dynamic response.