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控制算法魯棒性的通用量化方法

General Quantitative Method for The Analysis of Robustness of Control Algorithms

  • 摘要: 針對各類控制算法在魯棒性分析上存在的"不可比"性,提出了一種通用的控制算法魯棒性量化指標,并借此對兩種模型算法控制(MAC)算法-基本MAC和增量型MAC的魯棒性進行了量化分析,得到了與仿真研究和實際控制相一致的結果。

     

    Abstract: Because of the difference of simulation method and theoretical analysis measure, the analysis results of control algorithms, which pulished on references, are incomparable. In order to eliminate the "incomparability", a general quantitative criterion for the analysis of robustness of control algorithms is presented, and the robustnesses of two kinds of Model Algorithmic Control (MAC) algorithms-Basic MAC and Incremental MAC are analyzed by this way. The results show that the quantitative criterion is compatible with the results of their simulations and real-time applications, and it is suitable for the theoretical research of most of control algorithms.

     

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