首页|基于天牛须-粒子群PID的供热控制优化研究

基于天牛须-粒子群PID的供热控制优化研究

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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.
Research on Optimization of Heat Supply Control Based on BAS-POS PID
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 implemen-tation and small amount of computation,but also combines the particle swarm algorithm to avoid the problems such as the BAS al-gorithm 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 charac-teristics of smaller error,faster response speed and stronger anti-interference.

heating systemBeetle Antennae Search AlgorithmBAS-POS PIDMatlab

姜庆龙、高晓红

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吉林建筑大学 电气与计算机学院,吉林 长春 130118

供热系统 天牛须 天牛须-粒子群PID Matlab

2024

电脑与电信
广东省对外科技交流中心

电脑与电信

影响因子:0.117
ISSN:1008-6609
年,卷(期):2024.(8)