首页|粒子群优化PID的供水电机调速系统研究

粒子群优化PID的供水电机调速系统研究

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针对叠压供水系统供水压力不稳定、控制效果时效性差的问题,提出了一种粒子群优化PID算法.结合粒子群算法与PID控制,根据供水压力展开粒子群优化PID参数算法程序,实时调整PID3个参数,并将其结果发送给变频器,实现电机平稳启动与调速,保证供水压力的稳定.仿真测试表明,该算法可实现对供水泵房电机的变频调速,有效解决了工频供水方式水压不稳定、控制效果时效性差的问题.
Research on Particle Swarm Optimization PID for Water Supply Motor Speed Regulation System
A particle swarm optimization PID algorithm is proposed to address the issues of unstable water supply pressure and poor control effectiveness in the stacked water supply system.By combining particle swarm optimization algorithm and PID control,a particle swarm optimization PID parameter algorithm program is developed based on the water supply pressure.The three PID parameters are adjusted in real time and the results are sent to the frequency converter to achieve smooth motor start-up and speed regulation,ensuring stable water supply pressure.Simulation tests have shown that the algorithm can achieve variable frequency speed regulation of the motor in the water supply pump room,effectively solving the problems of unstable water pressure and poor control efficiency in the power frequency water supply mode.

variable frequency speed regulationconstant pressure controlwater supply systemparticle swarm algorithmPID speed regulation

王成荣、李栋、于亚龙、张林楠

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聊城大学东昌学院机电工程系,山东 聊城 252000

变频调速 恒压控制 供水系统 粒子群算法 PID调速

2024

自动化应用
重庆西南信息有限公司

自动化应用

影响因子:0.156
ISSN:1674-778X
年,卷(期):2024.65(15)