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The minimum norm multi-input multi-output receptance method for partial pole placement

机译:极点局部布置的最小范数多输入多输出接收方法

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A closed-form analytical solution is developed for the first time that fully addresses the problem of choosing feedback gains that minimize the control effort required for partial pole placement in multi-input, multi-output systems. The norm of the feedback gain matrix is shown to take the form of an inverse Rayleigh quotient, such that the optimal closed-loop system eigenvectors are given as a function of the dominant (highest) eigenvectors of the matrix in the quotient. The feedback gains that deliver the required pole placement with minimum effort may then be determined using standard procedures. The original formulation by the receptance method proposed an arbitrary choice of the closed loop eigenvectors that assigned the poles exactly but was generally wasteful of control effort that might otherwise be conserved or put to good use in satisfying additional control objectives. The analytical solution is validated against a set of numerical examples. (C) 2019 The Authors. Published by Elsevier Ltd.
机译:首次开发出一种封闭形式的分析解决方案,该解决方案完全解决了选择反馈增益的问题,该反馈增益可最大程度地减少多输入多输出系统中部分极点放置所需的控制工作量。示出了反馈增益矩阵的范数采用逆瑞利商的形式,从而给出最优闭环系统特征向量作为该商中矩阵的主要(最高)特征向量的函数。然后可以使用标准程序确定以最小的努力即可交付所需的极点放置的反馈增益。接受方法的原始公式提出了闭环特征向量的任意选择,该特征向量精确地分配了极点,但通常浪费了控制力,否则可能会被保留或很好地用于满足其他控制目标。该分析解决方案通过一组数值示例进行了验证。 (C)2019作者。由Elsevier Ltd.发布

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