基于遗传算法的PID控制器参数优化研究

Research on PID parameter optimization based on genetic algorithm

针对PID控制器在不同的应用系统,需要动态调整PID控制参数的问题,提出了基于遗传算法的PID自适应参数优化方案。该方案通过将PID控制器产生的误差作为目标函数,利用遗传算法实现对PID控制器参数的自动调整。为了提高参数的优化效率,文章通过对交叉算子和变异算子的自适应处理,提高了PID控制器的性能。实验测试表明,文章设计的PID参数优化策略比普通的基于遗传算法优化策略效率平均高14.7%。

In different application system,PID controlling parameters need to be dynamically adjusted by PID controller.So PID adaptive parameter optimization scheme based on genetic algorithm is presented.It makes the errors of PID controller as objective function,using genetic algorithm to automatically adjust PID controller parameters.To improve the optimization efficiency of parameters,the assay improved the performance of PID controller by the adaptive processing of crossover operator and mutation operator.The experimental tests indicate that the efficiency of PID parameter optimization is 14.7% above that of general genetic algorithm parameters optimization.