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Open-Closed-Loop Iterative Learning Control for Discrete-time Systems with Vector Relative Degree under Iterative Varying Duration

机译:在迭代变化持续时间下传输相对程度的离散时间系统的开放式闭环迭代学习控制

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摘要

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.
机译:展开闭环迭代学习控制(ILC)方案用于线性离散时间多输入多输出(MIMO)系统,在本文中具有迭代变化的持续时间,其中考虑了MIMO系统的矢量相对程度。为了在迭代变化持续时间造成的前迭代处重新计量跟踪信息,在基于修改的跟踪误差的ILC法中采用了反馈控制策略。事实证明,收敛条件取决于p型控制增益。通过选择适当的反馈控制增益,开发的开闭环ILC方案可以加快收敛速度​​。最后,提供了一个数值例子进行验证。

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