摘要
水厂加氯过程具有非线性、大时滞等特点,采用传统的PID控制方式难以实现消毒剂精准投加。因此,以某采用次氯酸钠消毒系统的水厂为例,首先通过分析该水厂加氯系统工作原理,结合工程经验和运行数据确定了加氯过程的近似数学模型。然后综合使用粒子群优化算法、模糊控制算法和PID控制算法,设计了一种粒子群优化模糊PID控制器,并利用MATLAB软件搭建了粒子群优化模糊PID控制系统和传统PID控制系统的模型进行仿真验证,结果表明:相较于传统PID控制系统,粒子群优化模糊PID控制系统的超调量减少了89.36%,调节时间减少了46.63%,其抗干扰能力也更强,系统整体控制效果有了较大提升。最后使用基于粒子群优化的模糊PID控制法对水厂加氯控制系统进行改造,试运行后发现,新系统控制效果良好,出厂水游离氯值能够稳定在设定值附近。
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 chlorination 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 optimization 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 verification.The results showed that the overshoot of the particle swarm optimization fuzzy PID control system was reduced 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.
作者
刘晓艳
宋浪
汪恂
詹焕
谢世伟
Liu Xiaoyan;Song Lang;Wang Xun;Zhan Huan;Xie Shiwei(School of Urban Construction,Wuhan University of Science and Technology,Wuhan 430065,China;Xiaogan Water Supply Co.,Ltd.,Xiaogan 432000,China)
出处
《市政技术》
2024年第3期198-205,共8页
Journal of Municipal Technology
基金
国家自然科学基金(51808415)。
关键词
水厂
加氯系统
模糊控制
粒子群优化算法
PID控制
water plant
chlorination system
fuzzy control
particle swarm optimization algorithm
process identifier(PID)control
