摘要
当前供热控制系统使用传统PID控制,造成供热效果差、能源浪费现象严重。通过海鸥优化算法优化PID参数,同时针对海鸥优化算法收敛精度差、速度慢等问题,提出一种改进海鸥优化算法(IGSOA)。在海鸥迁徙期引入余弦函数收敛因子以维持探索能力并加速后期收敛,在海鸥捕食期则结合贪婪策略与加权平均更新机制,引导种群向优势区域迁移。最后加入黄金正弦策略指引种群位置更新,提高局部搜索能力。本文建立供热控制系统的数学模型,利用所得实验数据计算出系统的传递函数,然后利用Matlab中的Simulink搭建并运行IGSOA-PID控制器。实验结果表明,改进后的PID控制器响应快、超调量低、稳定性好,提高了供热控制系统的控制效果。
Current heating control systems relying on traditional PID control exhibit suboptimal performance,leading to poor heating effectiveness and significant energy wastage.This paper addresses these limitations by employing the Seagull Optimization Algorithm(SOA)to optimize PID controller parameters.To mitigate the inherent shortcomings of SOA,such as limited convergence accuracy and slow convergence speed,an Improved Seagull Optimization Algorithm(IGSOA)is proposed.The IGSOA incorporates a cosine function convergence factor during the seagull migration phase to sustain exploratory capabilities while accelerating convergence in later stages.In the predatory phase,a combination of a greedy strategy and a weighted-average updating mechanism is introduced to guide the population toward promising regions of the search space.Furthermore,a golden-section-based sine strategy is integrated to guide population position updates,thereby enhancing local search capabilities.To evaluate the proposed approach,a mathematical model of a heating control system is established.Experimental data obtained from the system is used to derive its transfer function.The IGSOA-PID controller is then implemented and simulated using Simulink in MATLAB.Experimental results demonstrate that the proposed controller exhibits a faster response,lower overshoot,and improved stability,ultimately enhancing the control effectiveness of the heating control system.
作者
李善滨
高晓红
LI Shan-bin;GAO Xiao-hong(Jilin Jianzhu University,Changchun 130118,China)
出处
《电脑与电信》
2025年第5期55-60,共6页
Computer & Telecommunication
作者简介
李善滨(2001-),男,山东东营人,硕士研究生,研究方向为自动控制供热系统优化、算法优化;通讯作者:高晓红(1975-),女,吉林长春人,硕士,教授,研究方向为建筑电气智能化、电子材料与器件研发。
