基于引入学习过程的遗传算法的PID参数整定

PID Control Based on a New Genetic Algorithm

在遗传算法中引入一个学习过程,实现进化过程中同代个体之间相互竞争与学习的结合,并将其应用于PID控制中参数的整定.仿真结果表明此算法具有较好的寻优能力,初步验证了其引入学习过程的意义.

In order to overcome the drawbacks of ＂early maturing＂ of the classical GA and improve its global convergency, this paper proposes a new process of learning which achieves the combination of competition with and learning from each other in the same generation. The simulation result of PID optimization shows that this proposed algorithm can effectively overcome the mentioned drawbacks and yield much better result compared with the classical GA.