应用IMOABC空调房间CO_(2)浓度二自由度内模分数阶PI控制性能的研究  

Study on Performance of Two-Degree of Freedom Internal Model Fractional Order PI Control Using Improved Multi-Objective Artificial Bee Colony Algorithm for the Concentration of Carbon Dioxide in Air-conditioning Room

作　　者：杨睿 李绍勇[1] 魏明松 王少波 Yang Rui;Li Shaoyong;Wei Mingsong;Wang Shaobo(School of Civil Engineering,Lanzhou University of Technology,Lanzhou,730050;Guangzhou Hengsheng Construction Engineering Co.,Guangzhou,510080)

机构地区：[1]兰州理工大学土木工程学院,兰州730050 [2]广州市恒盛建设工程有限公司,广州510080

出　　处：《制冷与空调（四川）》2023年第1期10-18,共9页Refrigeration and Air Conditioning

基　　金：国家自然科学基金资助项目(61364004,51808275)。

摘　　要：由于定风量空调机组(Constant Air Volume Air Handling Unit, CAVAHU)输出的新风量往往是固定的,当空调房间内的额定人员数量超员或不足时,会导致空调房间CO_(2)浓度测量值Cn高于室内CO_(2)浓度设定值Cn=Cn,set或新风负荷增大的状况。对此提出了一种空调房间CO_(2)浓度二自由度内模分数阶PI控制策略和设计改进多目标人工蜂群算法(Improved Multi-Objective Artificial Bee Colony Algorithm, IMOABCA)对控制器参数实施整定的思路。首先,基于人工蜂群算法,分别对雇佣蜂和观察蜂引入自适应惯性权重和精英组策略,进行非线性递减和柯西变异的演变,并结合观察蜂搜索特性,将最小粒子角度引入外部档案集,获取相应的Pareto解集,设计IMOABCA,进而对控制器的3个参数进行整定,获得相应的最优值。最后,借助MATLAB工具,对该室内CO_(2)浓度的二自由度内模分数阶PI控制系统进行组态和仿真。结果表明:该室内CO_(2)浓度二自由度内模分数阶PI控制系统和IMOABCA是可行的,能够实现Cn=Cn,set的调节目的和获取控制器的3个参数最优值,提升室内CO_(2)浓度的调节品质。Since fresh air volume outputted from constant air volume air handling unit(CAVAHU) is generally constant, the state that the measured value of the concentration of carbon dioxide(denoted as CO_(2)) in air-conditioning room(denoted as Cn) is greater than the setting value of indoor CO_(2)concentration(denoted as Cn=Cn,set) or increasing the load of fresh air occurs when the nominal number of persons in air-conditioning room is excessive or insufficient. So a two-degree of freedom internal model fractional order PI control policy for the concentration of CO_(2)in air-conditioning room is proposed and an improved multi-objective artificial bee colony algorithm(IMOABCA) is designed to tune the controller parameters. Firstly, based on the artificial bee colony algorithm, an adaptive inertia weight and an elite group strategy are introduced to the employment bees and the observation bees, respectively, in order to carry out the evolution of nonlinear decrease and Cauchy variation. On the basis of combining with the search characteristics of observation bees, an IMOABCA is designed to tune three parameters of the controller by means of introducing the minimum particle angle into external files to obtain the corresponding Pareto set, so the optimal values of three parameters of the controller are found. Finally, by MATLAB tool, this two-degree of freedom internal model fractional order PI control system for the indoor CO_(2)concentration is configured and simulated. The results show that the proposed the system for the indoor CO_(2)concentration and IMOABCA are feasible in theory, the regulation purpose of Cn= Cn=Cn,setand the optimal values of three parameters of the controller can be achieved, respectively, and the regulation quality of indoor CO_(2)concentration is improved.

关 键 词：定风量空调机组 空调房间CO_(2)浓度 二自由度内模分数阶PI控制 改进多目标人工蜂群算法 控制器参数整定 

分 类 号：TP273.1[自动化与计算机技术—检测技术与自动化装置]