Xiaohong Yin, Xinli Wang, Ximei Liu, R. Chi, Mingming Lin, Fanglin Liu
{"title":"An Iterative Learning Controller for Superheat Degree of VCC System","authors":"Xiaohong Yin, Xinli Wang, Ximei Liu, R. Chi, Mingming Lin, Fanglin Liu","doi":"10.1109/DDCLS.2018.8516037","DOIUrl":null,"url":null,"abstract":"The air-conditioning system has played an indispensable role in daily life, which can provide a comfortable and healthy residential environment for people. The vapor compressor refrigeration cycle (VCC) system, one of the core cycles of HVAC system, produces a cooling effect. In this research, an iterative learning control (ILC) strategy is proposed for the VCC system. In the first place, the least-square method of system identification has been adopted to obtain a data driven model. Moreover, in order to hold superheat degree of VCC system on a safe level, an ILC controller is developed. Finally, a simulation is provided to test the validity of the proposed controller.","PeriodicalId":6565,"journal":{"name":"2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"9 1","pages":"949-953"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DDCLS.2018.8516037","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The air-conditioning system has played an indispensable role in daily life, which can provide a comfortable and healthy residential environment for people. The vapor compressor refrigeration cycle (VCC) system, one of the core cycles of HVAC system, produces a cooling effect. In this research, an iterative learning control (ILC) strategy is proposed for the VCC system. In the first place, the least-square method of system identification has been adopted to obtain a data driven model. Moreover, in order to hold superheat degree of VCC system on a safe level, an ILC controller is developed. Finally, a simulation is provided to test the validity of the proposed controller.
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