基于遗传算法的泵控马达系统PID参数的整定  

PID Parameters Tuning of Pump-controlled-motor System Based on Genetic Algorithm

作　　者：汪卫兵[1] 赵鹏兵[1] 柴光远[1] 

机构地区：[1]西安科技大学机械工程学院,陕西西安710054

出　　处：《机床与液压》2010年第23期77-78,82,共3页Machine Tool & Hydraulics

摘　　要：PID参数整定是一个多参数组合优化的问题,针对目前常用的工程整定法只能从系统的单项性能指标出发进行整定,而无法在全局范围内对PID参数进行组合优化,提出基于遗传算法的PID参数整定方法。这种方法充分利用遗传算法的适应度函数,引入所需的系统性能指标,对系统进行全面的参数设计。将该方法应用于泵控马达系统,取得了良好的控制效果,并将Ziegler-Nichols与遗传算法整定的PID控制系统响应曲线进行对比分析,证明基于遗传算法的PID参数整定方法的优越性。The parameters tuning of PID controller is a combination and optimization problem of multi-variables.In order to overcome the shortcomings of current engineering methods for parameters tuning that could only deal with it according to the single requirement of system and could not optimize it in the whole range,a method was presented in which the adaptation function of genetic algorithm（GA）that included the requirements of system was fully used and the parameters were designed comprehensively.Using this method in pump-controlled-motor system,good effect is obtained.Comparing the PID response curves of Ziegler-Nichols and GA,the superiority of the parameters tuning of PID by GA is proved.

关 键 词：遗传算法 PID参数整定 泵控马达系统 仿真 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]