基于天牛须-粒子群PID的供热控制优化研究  

Research on Optimization of Heat Supply Control Based on BAS-POS PID

作　　者：姜庆龙 高晓红[1] JIANG Qing-long;GAO Xiao-hong(Jilin Jianzhu university,Changchun 130118,China)

机构地区：[1]吉林建筑大学电气与计算机学院,吉林长春130118

出　　处：《电脑与电信》2024年第8期21-25,共5页Computer & Telecommunication

基　　金：吉林省科技厅科技发展计划项目,项目编号:20190303114SF。

摘　　要：随着社会对供热系统的要求不断提高,传统PID控制很难满足控制系统的要求,智能优化算法在供热领域中得到了广泛的应用。提出了一种基于天牛须-粒子群PID的控制策略,这种算法不仅具有天牛须算法优化机制简单且实施便捷、运算量小的特点,同时结合粒子群算法避免了天牛须算法作为单一算法易陷入局部最优、对参数值的设置过于敏感等问题,并融合混沌和逆向学习策略对群体初始化,利用自适应步长策略与凸透镜成像策略更新位置,增强了其丰富度。首先确定温度控制系统的数学模型,然后通过Matlab中的Simulink模块建立仿真模型进行仿真实验。最终实验结果表明,基于天牛须-粒子群PID相比较于单独一种算法具有误差较小、响应速度更快、抗干扰性强等特点。With the increasing requirements of heating system,it is difficult for traditional PID control to meet the requirements of control system.Intelligent optimization algorithm has been widely used in heating field.In this paper,a control strategy based on BAS-POS PID is proposed.This algorithm not only has the characteristics of simple optimization mechanism,convenient implementation and small amount of computation,but also combines the particle swarm algorithm to avoid the problems such as the BAS algorithm being a single algorithm easy to fall into local optimal and too sensitive to the setting of parameter values.Adaptive step size strategy and convex lens imaging strategy are used to update the position and enhance its richness.Firstly,the mathematical model of the temperature control system is determined,and then the simulation model is established by Simulink module in Matlab for simulation experiment.The final experimental results show that compared with a single algorithm,BAS-POS PID has the characteristics of smaller error,faster response speed and stronger anti-interference.

关 键 词：供热系统 天牛须 天牛须-粒子群PID MATLAB 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置] TP18[自动化与计算机技术—控制科学与工程]