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吉林化工学院学报, 2023, 40(1): 45-48     https://doi.org/10.16039/j.cnki.cn22-1249.2023.01.010
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基于遗传算法的集中供热系统PID参数整定
高思航1,孟亚男 1*,姬庆宽2,张心人境1**
1.吉林化工学院 信息与控制工程学院,吉林 吉林 132022;2.长垣盾安节能热力有限公司,河南 长垣 453400
Research on Neural Networks in CentralHeating Systems
GAO Sihang1,MENG Yanan1*,JI Qingkuan2,ZHANG Xinrenjing1**
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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
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:  
https://xuebao.jlict.edu.cn/CN/10.16039/j.cnki.cn22-1249.2023.01.010  或          https://xuebao.jlict.edu.cn/CN/Y2023/V40/I1/45
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