基于遗传算法的PID自适应控制器设计与仿真  

Design and Simulation of PID Adaptive Controller Based on Genetic Algorithm

作　　者：徐东 祖冉 Xu Dong;Zu Ran(College of Automobile and Rail,Anhui Technical College of Mechanical and Electrical Engineering,Anhui Wuhu 241002)

机构地区：[1]安徽机电职业技术学院汽车与轨道学院,安徽芜湖241002

出　　处：《内燃机与配件》2025年第3期43-45,共3页Internal Combustion Engine & Parts

基　　金：安徽省高校自然科学重点项目(2023AH052700)。

摘　　要：PID控制器具有广泛的应用范围、简单的结构和易于实现的特点。然而,传统的PID控制器参数无法根据预定输出实现参数的在线自动调整。因此,本文提出了构建内外循环以采集输出特性,并采用遗传算法和结合输出特性的适应度函数,使用MATLAB进行仿真实验,并根据PID控制器的输出特性,进行参数自适应整定的优化。实验结果显示,基于遗传算法的PID在线参数调节时间较短,表现出出色的动态性能。The PID controller has a wide range of applications,a simple structure,and is easy to implement.However,traditional PID controllers cannot achieve online automatic adjustment of parameters based on predetermined outputs.Therefore,this article proposes constructing inner and outer loops to collect output characteristics,and using genetic algorithms and fitness functions combined with output characteristics.Conduct simulation experiments using MATLAB and optimize parameter adaptive tuning based on the output characteristics of the PID controller.The experimental results show that the PID online parameter adjustment time based on genetic algorithm is relatively short and exhibits excellent dynamic performance.

关 键 词：PID控制 遗传算法 在线参数整定 

分 类 号：U463[机械工程—车辆工程]