改进GSO-Smith预估补偿的VAV冷冻水系统优化控制  

VAV chilled water system optimal control based on improved GSO-Smith estimate compensation

作　　者：逄铄 杨世忠[1] 李善伟 PANG Shuo;YANG Shizhong;LI Shanwei(Qingdao University of Technology,Qingdao 266520,China)

机构地区：[1]青岛理工大学,山东青岛266520

出　　处：《现代电子技术》2021年第23期106-110,共5页Modern Electronics Technique

基　　金：国家自然科学基金项目(61703224)。

摘　　要：为了提高变风量空调(VAV)冷冻水系统控制效果,提出一种改进萤火虫算法优化PID控制的思路,并对系统添加史密斯预估器,从而优化对系统的控制。首先对变风量空调的冷冻水系统进行建模,通过求解系统的过渡时间、截止频率、M序列的幅值从而得到系统的传递函数;然后在原萤火虫算法的基础上进行创新,提出一种与Pareto最优解和步长优化策略结合的改进萤火虫算法,从而改善基本萤火虫算法后期容易陷入震荡和局部最优的问题;最后在被控系统中添加Smith预估器,使系统的滞后环节得到消除和改善,并利用改进后的萤火虫算法对PID参数进行整定调节。通过仿真对比可知,优化后的变风量空调冷冻水控制系统稳定性得到加强,滞后性减弱,同时具有良好的鲁棒性,因此验证了该算法的有效性。In order to improve the control effect of VAV(variable air volume)chilled water system,an improved Glowworm swarm optimization(GSO)algorithm is proposed to optimize the PID(proportional integral differential)control,and the Smith estimator is added to the system to optimize the control over the system.Modeling is carried out for the chilled water system of VAV air conditioning,and the transfer function of the system is obtained by solving the transition time,cut-off frequency and M sequence amplitude of the system.On the basis of the original GSO algorithm,an improved GSO algorithm combined with Pareto optimal solution and step size optimization strategy is proposed,so as to avoid the fact that the basic GSO algorithm is prone to falling into oscillation and local optimization in the later stage.Smith estimator is added to the control system to eliminate the lag of the system.The improved GSO algorithm is used to adjust the PID parameters.It can be seen by the simulation comparison that the optimized VAV chilled water control system has enhanced stability,decreased hysteresis and good robustness,which has verified the effectiveness of the proposed algorithm.

关 键 词：VAV冷冻水系统 改进萤火虫算法 PARETO最优解 步长优化 PID控制 史密斯预估器 系统稳定性 鲁棒性 

分 类 号：TN876-34[电子电信—信息与通信工程] TP23[自动化与计算机技术—检测技术与自动化装置]