Data driving controller parameter optimization method based on minimum variance index

The invention discloses a data driving controller parameter optimization method based on a minimum variance index, and belongs to the field of industrial process controller parameter setting. According to the method, the control performance of the system is evaluated by using a minimum variance control performance evaluation index, and the minimum variance index of the system is estimated by using system process data and system time delay. According to the method, the control performance of the system is firstly monitored, when the control performance is poor, a controller parameter optimization method is started, controller parameters are optimized and solved in combination with a minimum variance index and an expanded virtual reference iterative correction (E-FRIT) algorithm, the method does not depend on experience of engineers, an accurate mathematical model of the controlled system does not need to be established, and the method is simple and convenient to operate. The parameters of the controller can be