多蒸发器空调系统的室温PI^(λ)D^(μ)−送风温度PD^(µ)串级调节  

Cascade control mode of indoor temperature PI^(λ)D^(μ) and supply air temperature PD^(µ) for multi-evaporator air-conditioning system

作　　者：魏明松 李绍勇[1] 周姣 王成闵 杨睿 WEI Ming-song;LI Shao-yong;ZHOU Jiao;WANG Cheng-min;YANG Rui(School of Civil Engineering,Lanzhou University of Technology,Lanzhou Gansu 730050,China;School of Civil Engineering,Tianshui Normal University,Tianshui Gansu 741000,China)

机构地区：[1]兰州理工大学土木工程学院,甘肃兰州730050 [2]天水师范学院土木工程学院,甘肃天水741000

出　　处：《控制理论与应用》2024年第10期1842-1852,共11页Control Theory & Applications

基　　金：国家自然科学基金项目(61364004,41967043,52160003);国家出国访学人员基金项目([2014]5049,201408625045);甘肃省高等学校产业支撑引导项目(2020C-40);兰州理工大学博士研究基金项目(B04-237).

摘　　要：对于多蒸发器空调系统(MEACS)的性能参数调节,本文提出了室内温度PI^(λ)D^(μ)-送风温度PD^(µ)串级控制的思路,并设计了改进多目标人工鱼群算法(IMOAFSA),应用于室内温度分数阶PID控制器(IT-FOPIDC)和送风温度分数阶PD控制器(SAT-FOPDC)参数的整定,进而稳定MEACS的送风状态点,提升室温调节品质.首先,依据基本型单目标人工鱼群算法,构建自适应因子对鱼群中的视野和步长进行非线性递减的演变,重建改进单目标人工鱼群算法(ISOAFSA).其次,基于该ISOAFSA,将高斯变异引入外部档案集(EF),从而设计了IMOAFSA,对IT-FOPIDC和SAT-FOPDC的8个参数进行连续整定.最后,数值模拟该串级调节系统作用下的室内温度和送风温度控制效果.结果表明:该IMOAFSA可获取这两个控制器的8个参数Pareto最优解(POS)并连续更新它们,能够明显地减小送风温度的波动,进一步提升了室温调节品质,如室温稳态误差较小、超调量较小、衰减比不合适、调节时间较短等.Aiming at regulating performance parameters of the multi evaporator air-conditioning system(MEACS),this project proposes a cascade control mode of indoor temperature PI^(λ)D^(μ) and supplys air temperature PDµand an improved multi-objective artificialfish swarm algorithm(IMOAFSA)is designed to tune parameters of fractional order PID controller for indoor temperature(IT-FOPIDC)and fractional order PD controller for supply air temperature(SAT-FOPDC),so as to stabilize the state point of supply air of MEACS and improve the regulation quality of indoor temperature.Firstly,according to the basic single objective artificialfish swarm algorithm(BSOAFSA),an adaptive factor is constructed to execute the nonlinear decreasing evolution to the visualfield and step size in thefish swarm,so an improved single objective artificialfish swarm algorithm(ISOAFSA)is rebuilt.Secondly,on the basis of this ISOAFSA,Gaussian variation is introduced into externalfiles(EF)to design an improved multi-objective artificialfish swarm algorithm(IMOAFSA)in order to continuously tune eight parameters of IT-FOPIDC and SAT-FOPDC.Finally,the control effects hosted by this cascade control system for indoor temperature and supply air temperature are numerically simulated.The results show that the designed IMOAFSAfinds out Pareto optimal solutions(POS)of eight parameters of these two controllers and continuously updates them,which can obviously reducefluctuation of supply air temperature and further improve the control quality of indoor temperature such as minor steady-state error,the smaller overshoot,the appropriate damping ratio and the shorter adjustment time,etc.

关 键 词：多蒸发器空调系统 串级控制 分数阶PID控制 改进多目标人工鱼群算法 控制器参数整定 

分 类 号：TU831.3[建筑科学—供热、供燃气、通风及空调工程] 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]