Data-driven Update of Smith Predictor and Models by Using Initial Control Signals

Abstract

For tuning controllers, various methods had been proposed. In this paper, input-type virtual internal model tuning (VIMT) for a smith compensator is proposed. Proposed methods can update smith compensator and a nominal model. The validity of the proposed method is verified via numerical simulations. Compare to the conventional method, the proposed method can realize good controllers and models in the case where the cut-off frequency of the initial sensitivity/ complementary sensitivity function is higher than that of the desired transfer function.