【作者】 邵诚； 杨义； 高福荣；

【Author】 Shao Cheng Yang Yi Gao Furong Research Center of Information and Control, Dalian University of Technology, 116023 Dpartment of Chemical Engineering, Hong Kong University of Science and Technology

【机构】 大连理工大学信息与控制研究中心； 香港科技大学化学工程系；

【摘要】 提出了一种鲁棒最优迭代控制器的设计方法。对于任意有界的参考输出和不确定的初始值,本文建立了由最优迭代学习控制器保证闭环系统有界输入有界输出(BIBO)鲁棒稳定性的充要条件。实际应用中加权矩阵的选择可根据不确定初始设定值和干扰来决定的, 从而保证系统性能通过迭代过程得到改进。在注塑机控制中的应用验证了本文结论的有效性．更多还原

【Abstract】 This paper presents a design of robust iterative learning controller. Sufficient and necessary condition to ensure robust BIBO (bounded-input bounded-output) stability is derived for the optimal iterative learning controllers when tracking arbitrary bounded output A practical scheme of selecting the weighting matrices is proposed for the process with uncertain initial resetting and disturbances, to ensure system performance improvement from batch to batch. An application to the injection molding control is given to demonstrate the effectiveness of the analysis.更多还原