基于改进WOA-PID的LT-MED系统浓盐水温度控制  

Temperature Control of Brine in LT-MED Based on Improved WOA-PID Algorithm

作　　者：王旻洁 杨蒙姣 毛涧 WANG Minjie;YANG Mengjiao;MAO Jian(Shanghai University of Electric Power,Shanghai 200090,China;Shanghai Electric Power Station Hydroengineering Company,Shanghai 200090,China)

机构地区：[1]上海电力大学,上海200090 [2]上海电气电站水务工程公司,上海200090

出　　处：《上海电力大学学报》2023年第4期387-392,共6页Journal of Shanghai University of Electric Power

基　　金：上海市自然基金项目(20ZR1421300)。

摘　　要：为适应低温多效蒸馏(LT-MED)海水淡化末效浓盐水温度控制系统存在的非线性时变和迟滞严重的特点,针对基于经验人为设定的PID控制器效果不佳的问题,提出了一种改进鲸鱼优化算法(WOA),以实现PID控制器参数的自动整定。首先,确定浓盐水温度控制系统的传递函数模型;然后,对基本WOA求解精度低、易陷入局部最优的缺陷对算法进行改进,实现PID控制器的参数优化。MATLAB R2019a平台的仿真实验结果表明,改进WOA算法具有更快的迭代速度和更强的全局寻优能力。改进WOA-PID控制器响应速度快且超调小,能够有效控制浓盐水温度以保障海水淡化系统正常稳定运行。In order to adapt to the characteristics of nonlinear time variation and severe hysteresis in the temperature control system of low temperature multi-effect distillation(LT-MED)seawater desalination,an improved whale optimization algorithm(IWOA)is proposed for the problem of poor effect of PID controller artificially set based on experience to achieve autotuning of PID controller parameters.Firstly,the transfer function model of the brine temperature control system is determined,and then the algorithm is improved for the defects of low accuracy and easy to fall into local optimization of the basic WOA algorithm,so as to realize the parameter optimization of the PID controller.The simulation results in MATLAB R2019a platform show that the improved WOA algorithm has faster iteration speed and stronger global optimization ability.

关 键 词：浓盐水温度 改进鲸鱼优化算法 PID控制器参数优化 仿真分析 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]