基于遗传算法的模糊内模PID控制器优化  

Optimization of Fuzzy Internal Model PID Controller Based on Genetic Algorithm

作　　者：余哲 王志国 刘飞 YU Zhe;WANG Zhi-guo;LIU Fei(MOE Key Laboratory of Advanced Process Control for Light Industry,Jiangnan University)

机构地区：[1]江南大学轻工过程先进控制教育部重点实验室

出　　处：《化工自动化及仪表》2020年第4期294-298,321,共6页Control and Instruments in Chemical Industry

基　　金：国家自然科学基金项目(61833007)。

摘　　要：针对传统的获取控制规则和隶属度函数方法的不足,将模糊控制和内模思想结合,建立了模糊内模PID控制的初始控制规则和隶属度函数,以累积绝对误差作为遗传算法的目标函数,对规则表和隶属度函数进行寻优,从而达到优化模糊控制器的效果。最后,通过仿真实验验证了算法的有效性。Considering the shortcoming of traditional methods in obtaining control rules and membership functions, having the fuzzy control theory combined with the idea of internal model to establish initial control rules and membership functions of fuzzy internal model PID control was implemented, including having the cumulative absolute error taken as the objective function of genetic algorithm to optimize both the rule table and the membership function so as to optimize the fuzzy controller. Simulation experiment verified the effectiveness of this algorithm.

关 键 词：模糊规则 隶属度函数 遗传算法 内模PID 模糊控制 

分 类 号：TP273.4[自动化与计算机技术—检测技术与自动化装置]