基于MSSA-PID算法的温升控制系统  

Study on Temperature Rise Control System Based on MSSA-PID Algorithm

作　　者：王燚增 檀英辉 王建伟 李旸 陈东明 彭凯 WANG Yizeng;TAN Yinghui;WANG Jianwei;LI Yang;CHEN Dongming;PENG Kai(State Grid Jibei Electric Power Co.,Ltd.Beijing EHV Power Transmission Company,Beijing 102488,China)

机构地区：[1]国网冀北电力有限公司超高压分公司,北京102488

出　　处：《电工技术》2024年第14期10-12,16,共4页Electric Engineering

基　　金：国网冀北电力有限公司群众创新项目(编号52018-H23002)。

摘　　要：为提高温升控制的速度与精度,提出一种基于改进麻雀搜索算法(Modified Sparrow Search Algorithm,MSSA)的PID参数优化选择的温升控制方法。为改善原始SSA算法存在的易早熟问题,同时提高其求解精度,引入动态反向学习机制与自适应t分布扰动对其求解过程进行改进;建立MSSA-PID控制模型,分别对典型的一阶、二阶以及延时系统进行控制,从理论方面对其有效性及优越性进行验证;最后搭建温升控制实验平台验证了所提MSSA-PID温度控制系统温升控制精度高、控制效果稳定。In order to improve the speed and accuracy of temperature rise control,a MSSA-based PID parameter-optimized temperature rise control method is proposed.To improve the premature convergence problem of the original SSA algorithm and improve its solving accuracy,a dynamic reverse learning mechanism and adaptive t-distribution disturbance are introduced to improve its solving process.The MSSA-PID control model is established and used to control the typical first-order,second-order,and time-delay systems,verifying its effectiveness and superiority from a theoretical perspective.Finally the test performed on a self-established temperature rise control platform indicates that the proposed temperature rise control system has high control accuracy and stable control effect.

关 键 词：温度控制 PID 麻雀搜索算法 动态反向学习机制 自适应t分布 

分 类 号：TP29[自动化与计算机技术—检测技术与自动化装置]