Predictive Controller Design Based on Subspace Identification with Varying Forgetting Factor

Abstract:

In the existence of unpredictable disturbance and large changes in dynamic characteristics,a complete datadriven method based on subspace identification with variable forgetting factor is proposed for LTV multivariable system,without any priori structural information and identification of system parameters matrix.Predictive control is a modelbased control method.In order to establish better system model,the variable forgetting factor is structured by error of the real and predictive output value based on on-line identification.Thus the weight of the collection data is adjusted and identification sensitivity and control effect is improved.Finally,a simulation example is given to demonstrate the efficiency of the proposed algorithm.