遗传算法的自适应PID控制器的应用  

Application of Adaptive PID Controller Based on Genetic Algorithm

作　　者：郑海霞[1] 王林[1] 

机构地区：[1]上海交通大学电子信息与电气工程学院,上海200240

出　　处：《自动化仪表》2009年第4期58-60,共3页Process Automation Instrumentation

摘　　要：针对工业过程中常见的二阶延迟系统的PID参数整定问题,提出了基于实数编码遗传算法的自适应参数整定方法。该方法利用遗传算法可快速全局寻优的特点,通过对控制器参数进行实数编码,将性能指标构成相应的适应度函数,采用自适应变异概率,反复进行遗传操作获得整定控制器的最佳参数。仿真结果表明所提出的整定方法效果显著,且控制器具有良好的抗干扰能力。Aiming at the parameter tuning issue of PID control for common second-order-delay system in industrial processes,the adaptive PID tuning method based on real number encoding genetic algorithm is proposed. By adopting the advantage of fast speed global optimization which is provided by genetic algorithm, the parameters of the controller are encoded in real numbers;the performance index is structured into relevant fitness function. With adaptive mutation probability and repeated genetic operation,optimal parameters for tuning controller are obtained,the result of simulation shows the anti-interference capability of controller is excellent.

关 键 词：PID控制 遗传算法 参数整定 自适应 优化 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]