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In the actual industrial production process, the performance of the controller directly affects the revenue of the system. In fact, due to the complexity of the working environment, the controller is susceptible to various interference signals, which usually causes the control effect is not as expected. Therefore, it is particularly important to assess the performance of the controller. Aiming at the interference problem of measurement noise in feedback system, the effect of measurement noise on the results of controller performance assessment (CPA) based on generalized minimum variance control (GMVC) is analyzed. In order to improve the accuracy of CPA, a dynamic data reconciliation (DDR) method is proposed to reduce the impact of measurement noise on the system performance. Firstly, GMVC based CPA is introduced in SISO and MIMO systems, and then the influence of measurement noise on CPA results is discussed. Finally, DDR filter is used to improve the accuracy of CPA results. The comparison of the output of the system under different conditions in the simulation verifies the significant performance of DDR filter.