Scholarlink

<p>In this work, a novel sliding mode control (SMC)-based iterative learning control (ILC) strategy with current feedback information is developed to address the tracking problem for a class of discrete-time repetitive systems subject to non-repetitive disturbances. First, an ILC scheme is designed by combining a novel correction term inspired by the principles of SMC. Specifically, in the proposed ILC scheme, the sign function is employed to suppress non-repetitive disturbances and accelerate the convergence rate of the tracking error, while the current feedback term is utilized to enhance tracking performance in the time direction within a cycle. Then, an equivalent two-dimensional (2-D) model of the tracking error dynamics is established for the stability analysis of the ILC system. As a consequence, the ILC problem can be represented by a convex optimization problem in the form of linear matrix inequalities (LMIs). Finally, a numerical example is presented to demonstrate the effectiveness and advantages of the proposed ILC strategy.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

SMC Based Tracking Control With Current Feedback Information for Discrete-Time Repetitive Systems

  • 期刊论文

  • 发表日期：

    2025年4月11日

查看全文
  • Jianqiang Hao,
  • Rongni Yang

摘要

In this work, a novel sliding mode control (SMC)-based iterative learning control (ILC) strategy with current feedback information is developed to address the tracking problem for a class of discrete-time repetitive systems subject to non-repetitive disturbances. First, an ILC scheme is designed by combining a novel correction term inspired by the principles of SMC. Specifically, in the proposed ILC scheme, the sign function is employed to suppress non-repetitive disturbances and accelerate the convergence rate of the tracking error, while the current feedback term is utilized to enhance tracking performance in the time direction within a cycle. Then, an equivalent two-dimensional (2-D) model of the tracking error dynamics is established for the stability analysis of the ILC system. As a consequence, the ILC problem can be represented by a convex optimization problem in the form of linear matrix inequalities (LMIs). Finally, a numerical example is presented to demonstrate the effectiveness and advantages of the proposed ILC strategy.