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热工系统中PID参数的遗传算法整定
引用本文:彭道刚,杨平,于会群,杨艳华.热工系统中PID参数的遗传算法整定[J].上海电力学院学报,2004,20(2):6-10.
作者姓名:彭道刚  杨平  于会群  杨艳华
作者单位:上海电力学院,信息与控制技术系,上海,200090
摘    要:针对热工系统中常规的PID参数寻优策略的缺点以及遗传算法所具有的强大的全局优化能力和鲁棒性,采用了基于遗传算法的PID参数整定与优化方法,仿真结果表明该方法具有可行性和有效性。

关 键 词:热工系统  PID参数  遗传算法  参数整定
文章编号:1006-4729(2004)02-0006-05
收稿时间:2003/11/17 0:00:00

Tuning of PID Parameters Based on Genetic Algorithm in the Thermal System
PENG Dao-gang,YANG Ping,YU Hui-qun and YANG Yan-hua.Tuning of PID Parameters Based on Genetic Algorithm in the Thermal System[J].Journal of Shanghai University of Electric Power,2004,20(2):6-10.
Authors:PENG Dao-gang  YANG Ping  YU Hui-qun and YANG Yan-hua
Affiliation:Dept. of Information and Control Technology, Shanghai University of Electric Power, Shanghai 200090, China,Dept. of Information and Control Technology, Shanghai University of Electric Power, Shanghai 200090, China,Dept. of Information and Control Technology, Shanghai University of Electric Power, Shanghai 200090, China and Dept. of Information and Control Technology, Shanghai University of Electric Power, Shanghai 200090, China
Abstract:Aiming at the shortcomings of general PID parameters optimizing strategy in the thermal system, and the strong global optimization capability and robustness of genetic algorithm, this paper introduces a tuning and optimization of PID parameters based on genetic algorithm. Simulation results show the strategy's feasibility and effectiveness for the PID controller parameters optimization in the thermal system.
Keywords:thermal system  genetic algorithm  PID parameter tuning
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