关键词: 控制系统, 最小方差控制, 递推最小二乘法, 性能评价算法

Abstract: To evaluate the system performance timely,the Control Performance Assessment(CPA)problem of Single-Input-Single-Output(SISO)systems was investigated based on Minimum Variance Control(MVC)theory by considering the cases of zero and nonzero system set-points respectively.Aiming at the demand of existing linear regression and the defects of requiring excessive computing burden and invertible matrix calculation of data matrices,the recursive least-square technique was introduced to calculate the minimum variance benchmark.An improved algorithm based on minimum variance control was concluded for performance evaluation of SISO plants thus the shortages of the linear regression based method were avoided.The evaluation results of the improved algorithm and the existing linear regression algorithm were compared by simulation study to validate the effectiveness of this improved algorithm.

Key words: control system, minimum variance control, recursive least-square technique, performance assessment algorithm