Robust static output feedback based ILC design with finite frequency specifications for batch processes with time-varying uncertainties
作者单位：Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University ofTechnology Institute of Advanced Control Technology Dalian University of Technology Institute of Automation Electronic and Electrical Engineering University of Zielona Góra
会议名称：《第三十九届中国控制会议》
会议日期：2020年
学科分类：0711[理学-系统科学] 07[理学] 08[工学] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 071102[理学-系统分析与集成] 081103[工学-系统工程]
关 键 词：Batch process time-varying uncertainties iterative learning control output feedback finite frequency range specification
摘 要：For industrial batch processes with time-varying uncertainties, a robust output feedback based iterative learning control（ILC） design is proposed by introducing finite frequency specifications, based on only the output measurement. The integral of output tracking error in the time domain is incorporated into the ILC updating law to improve the tracking performance from batch to batch. Based on the generalized Kalman-Yakubovich-Popov lemma, robust stability of the resulting closed-loop ILC system along both time and batch directions is analyzed in the repetitive system framework. The corresponding ILC law can be determined from the established tractable linear matrix inequality conditions. Moreover, it is shown that the obtained stability condition can also guarantee the bounded output tracking error and system input in the presence of time-and/or batch-varying uncertainties. An illustrative example from the literature is adopted to demonstrate the effectiveness of the proposed design.