基于MV基准界的多变量控制系统性能评价方法

Multivariable Control System Performance Assessment Methods Based on MV Benchmarking Bounds

  • 摘要: 为解决关联矩阵难以估计的问题,提出利用最小方差(MV)基准界评价多变量控制系统性能的方法.建立了另一最小方差基准下界,此新下界可通过过程数据和对角关联矩阵得到.几种建界方法相互结合,形成一套完整的、基于最小方差基准界的多变量控制系统性能评价理论体系.通过仿真实验验证了该评价方法的有效性.

     

    Abstract: To solve the problem that it is difficult to estimate the interactor matrix,minimum variance(MV) benchmarking bound is proposed to assess multivariable systems' performances.Another new MV benchmarking lower bound is established, it can be acquired from the process data and diagonal interactor matrix.Combined with these bound establishing methods,a new integrated MV benchmarking bounds performance assessment theory system of multivariable control system is constituted.Simulation results show the above assessment methods are effective.

     

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