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多變量自尋優極點配置自校正控制器

Multivariable Self-optimization Pole Assignment Self-tuning Controller

  • 摘要: 本文提出的一種多變量自尋優閉環移動極點自校正控制算法的基本策略是:在控制過程中,以多變量廣義最小方差為目標,自動移動閉環極點,且使其在控制量允許的范圍內,閉環極點處在理想位置的系統。這樣不僅能實現最優控制,且具有極點配置的魯棒性。

     

    Abstract: This paper presents a multivariable self-optimization pole assignment, self-tuning control algorithm. It can sslf search closed-loop poles and be located on approprate positions in the allowing scale of control measure. This algorithm not only implements optimization control, but also has still robustness of pole assignment.

     

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