定风量空调送风温度的二自由度内模PID控制  

Two-degree-of-freedom Internal Model PID Control for Supply Air Temperature of Constant Air Volume Air Handling Unit

作　　者：王铎 李绍勇[1] WANG Duo;LI Shao-yong(School of Civil Engineering,Lanzhou University of Technology,Lanzhou 730050,China)

机构地区：[1]兰州理工大学土木工程学院,甘肃兰州730050

出　　处：《控制工程》2022年第12期2227-2234,共8页Control Engineering of China

基　　金：国家自然科学基金资助项目(61364004,51808275)。

摘　　要：为提升定风量空调空气处理机组(CAVAHU)送风温度的调节性能,针对CAVAHU送风温度被控对象存在大时滞、非线性、多干扰等特性,提出送风温度二自由度内模PID控制策略和用于控制器参数整定的改进粒子群优化(PSO)算法。首先,对送风温度控制系统中的各个对象及二自由度内模PID控制器分别建模。其次,采用改进PSO算法对控制器参数进行整定,获取相应的最佳值。最后,对控制系统与整定算法进行组态与仿真。仿真结果表明,基于改进PSO算法的送风温度控制器参数整定及其调节系统是可行且有效的,对送风温度的控制性能能够满足空调工艺要求,并且跟踪与抗干扰能力良好。In order to improve the regulation performance of supply air temperature of constant air volume air handling unit(CAVAHU), a two-degree-of-freedom internal model PID control strategy for supply air temperature and an improved particle swarm optimization(PSO) algorithm for tuning of the controller parameters are presented in this paper to solve the problems of large time delay, nonlinearity and multi-disturbance in the supply air temperature control of CAVAHU. Firstly, each object of the supply air temperature control system and supply air temperature two-degree-of-freedom internal model PID controller(SAT-TDFIMPIDC) are modeled respectively. Then, the parameters of SAT-TDFIMPIDC are tuned by the improved PSO algorithm and the corresponding optimal values are obtained. Finally, the control system and the tuning algorithm are configured and simulated. The simulation results show that the parameter tuning of supply air temperature controller and the regulation system based on the improved PSO algorithm are feasible and effective. The control performance of supply air temperature can meet the requirements of air conditioning technology, and the ability of tracking and anti-interference is good.

关 键 词：CAVAHU 内模控制 二自由度PID控制 控制器参数整定 数值模拟 

分 类 号：TU831.34[建筑科学—供热、供燃气、通风及空调工程]