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**
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。
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
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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