标题：An Iterative Learning Controller for Superheat Degree of VCC System
作者：Yin, Xiaohong; Wang, Xinli; Liu, Ximei; Chi, Ronghu; Lin, Mingming; Liu, Fanglin
作者机构：[Yin, Xiaohong; Liu, Ximei; Chi, Ronghu; Lin, Mingming] Qingdao Univ Sci & Technol, Sch Automat & Elect Engn, Qingdao 266042, Peoples R China.; [Wan 更多
会议名称：IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)
会议日期：MAY 25-27, 2018
来源：PROCEEDINGS OF 2018 IEEE 7TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS)
关键词：Iterative learning control; Superheat degree; Vapor compression; refrigeration cycle system
摘要：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.