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Multivariable Control Performance Assessment Based On Generalized Minimum Variance Benchmark

机译:基于广义最小方差基准的多变量控制性能评估

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This paper is concerned with the control performance assessment based on the multivariable generalized minimum variance benchmark. Firstly an explicit expression for the feedback controller-invariant (here we call it generalized minimum variance) term of the multivariable control systems is obtained, and consequently the derived feedback controller-invariant term is used as a standard benchmark for the assessment of the control performance of MIMO processes. The proposed approach is based on the multivariable minimum variance benchmark and univariate generalized minimum variance benchmark. It is the extension of the above two benchmarks. In comparison with the minimum variance benchmark, the new approach is more reasonable and practical for the control performance assessment of multivariable systems. However, it does need more information of the process. The utility of the developed approach is illustrated by simulation example.
机译:本文涉及基于多变量广义最低方差基准的控制性能评估。首先,获得了对反馈控制器的反馈控制器 - 不变的显式表达式(这里我们称之为广泛的最小方差),因此派生的反馈控制器 - 不变术语用作评估控制性能的标准基准MIMO过程。所提出的方法基于多变量的最低方差基准和单变量通用最小方差基准。它是上述两个基准的扩展。与最小方差基准相比,新方法对于多变量系统的控制性能评估更合理且实用。但是,它确实需要更多的过程信息。通过仿真示例说明了所开发方法的效用。

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