迭代变持续时间下矢量相对离散系统的开闭环迭代学习控制

Yun‐Shan Wei, Zhi Weng, T. Xiao
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引用次数: 0

摘要

针对具有迭代变持续时间的线性离散多输入多输出(MIMO)系统,提出了一种考虑MIMO系统矢量相对度的开闭环迭代学习控制(ILC)方案。为了补偿前几次迭代中由于迭代持续时间变化而导致的跟踪信息缺失,在基于ILC律的修正跟踪误差中采用了反馈控制策略。证明了收敛条件与p型控制增益有关。通过选择适当的反馈控制增益,开闭环ILC方案可以加快收敛速度。最后给出了一个数值算例进行验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Open-Closed-Loop Iterative Learning Control for Discrete-time Systems with Vector Relative Degree under Iterative Varying Duration
An open-closed-loop iterative learning control (ILC) scheme is presented for linear discrete-time multiple-input multiple-output (MIMO) systems with iterative varying duration in this article, where the vector relative degree of MIMO system is considered. To recompense the absent tracking information at former iterations caused by iterative varying duration, the feedback control strategy is adopted in modified tracking error based ILC law. It is proved that the convergent condition depends on the P-type control gain. By selecting the proper feedback control gain, the developed open-closed-loop ILC scheme can expedite the convergent speed. Finally, a numerical example is provided for validation.
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