市政技术2024，Vol.42Issue(3)：198-205,8.DOI:10.19922/j.1009-7767.2024.03.198
基于粒子群优化模糊PID控制的水厂加氯系统
Chlorination System of Water Plant Based on Particle Swarm Optimization Fuzzy PID Control
摘要
Abstract
Because the chlorination process has characteristics of nonlinearity and large time delay in water plants,disinfectants can't be precisely dosed by traditional process identifier(PID)control methods.Therefore,taking a water plant that applied a sodium hypochlorite disinfection system as an example,the working principle of the chlo-rination system was analyzed,and an approximate mathematical model was determined by engineering experience and operating data.Then,a particle swarm optimization fuzzy PID controller was designed by particle swarm opti-mization algorithm,fuzzy control algorithm,and PID control algorithm.MATLAB software was used to build models of the particle swarm optimization fuzzy PID control system and the traditional PID control system for simulation ver-ification.The results showed that the overshoot of the particle swarm optimization fuzzy PID control system was re-duced by 89.36％,the adjustment time was reduced by 46.63％,the anti-interference ability was also stronger,and the overall control effect of the system had been greatly improved compared with the traditional PID control system.Finally,the method was used to modify the chlorination control system of the water plant.After trial operation,the new system had good control effect and the free chlorine value of the factory water was stable around the set value.关键词
水厂/加氯系统/模糊控制/粒子群优化算法/PID控制Key words
water plant/chlorination system/fuzzy control/particle swarm optimization algorithm/process identifier(PID)control分类
土木建筑引用本文复制引用
刘晓艳,宋浪,汪恂,詹焕,谢世伟..基于粒子群优化模糊PID控制的水厂加氯系统[J].市政技术,2024,42(3):198-205,8.基金项目
国家自然科学基金(51808415) （51808415）
