改进PSO-BPNN供水泵站变频恒压PID控制  

Variable frequency and constant pressure PID control of water supply pump station based on improved PSO-BPNN algorithm

作　　者：余梦龙 张进朝 文豪 郭华 何莉 Yu Menglong;Zhang Jinchao;Wen Hao;Guo Hua;He Li(College of Mechatronics and Control Engineering,Shenzhen University,Shenzhen 518060,China;Shenzhen Dongshen Electronics Co.,Ltd.,Shenzhen 518057,China)

机构地区：[1]深圳大学机电与控制工程学院,深圳518060 [2]深圳市东深电子股份有限公司,深圳518057

出　　处：《电子测量技术》2023年第17期64-70,共7页Electronic Measurement Technology

基　　金：国家重点研发计划(2019YFB2102703);广东省教育厅重点领域专项(2020ZDZX1052);深圳市基础研究重点项目(JCYJ20210324120209027)资助。

摘　　要：供水泵站是变频恒压系统,要求保障水压稳定,且在干扰情况下能快速响应并恢复稳定。为提升系统稳定性、高效性,提出一种改进PSO-BPNN的PID控制方法。首先构建供水泵站变频恒压控制模型,再基于BPNN实现PID非线性控制,提出一种PSO惯性权重改进策略,以提升PID参数的计算效率,从而更好地满足供水泵站控制需求。实验表明,本文算法响应快速、无超调,且具有稳定的非线性信号跟踪性能。相比BPNN、PSO-BPNN的两种PID控制算法,本文算法在恒压实验的调节时间缩短了29.6%和2.8%;在干扰实验中,超调量减少了34.6%和19.9%,稳定时间缩短了7.3%和1.6%。本文算法可提升供水泵站系统的稳定性和高效性。Water supply pumping station is a variable frequency and constant pressure system to ensure water pressure stability,which can respond quickly and stably under the disturbance.In order to improve the stability and efficiency,this article proposes an improved PSO-BPNN adaptive PID control method.Firstly,the variable frequency and constant pressure control model of water supply pump station is established.Then,PSO weight iterative strategy based on BPNN is proposed to improve optimization efficiency of PID parameters,so as to preferably satisfy the control requirements.The results show that the proposed algorithm responds quickly without overshoot,and shows stable tracking capability for nonlinear signal.Compared with the PID control algorithms of BPNN and PSO-BPNN,the proposed algorithm can shorten the regulation time by 29.6%and 2.8%in the constant voltage experiment,and the overshoot is reduced by 34.6%and 19.9%,and the stabilization time is shortened by 7.3%and 1.6%in the disturbance experiment.The algorithm can improve the stability and efficiency of water supply pumping station system.

关 键 词：供水泵站 变频恒压 PID控制 BPNN PSO算法 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]