基于遗传算法的集中供热系统PID参数整定

doi:10.16039/j.cnki.cn22-1249.2023.01.010

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摘要

针对传统供热系统中PID控制存在的超调量高、响应慢、达到稳定的时间久等问题，提出采用遗传算法，通过遗传算法与PID相结合，设计出GA-PID控制器，使得系统的响应时间短，稳定性更高。

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	高思航
	孟亚男
	姬庆宽
	张心人境

关键词: 传统PID 供热系统 GA算法

Abstract:

Aiming at the problems of large overshoot, slow response and long stabilization time for traditional heating system PID control, a genetic algorithm was proposed.Combining genetic algorithm with PID，a GA-PID controller was designed to make the system response time short and stable.

Key words: Proportion Integral Differential heating system Genetic algorithms

出版日期: 2023-01-25 发布日期: 2023-01-25 整期出版日期: 2023-01-25

ZTFLH:

TP29

引用本文:

高思航, 孟亚男, 姬庆宽, 张心人境. 基于遗传算法的集中供热系统PID参数整定 [J]. 吉林化工学院学报, 2023, 40(1): 45-48.
GAO Sihang, MENG Yanan, JI Qingkuan, ZHANG Xinrenjing. Research on Neural Networks in CentralHeating Systems . Journal of Jilin Institute of Chemical Technology, 2023, 40(1): 45-48.

链接本文:

http://xuebao.jlict.edu.cn/CN/10.16039/j.cnki.cn22-1249.2023.01.010 或 http://xuebao.jlict.edu.cn/CN/Y2023/V40/I1/45

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