Data-driven Tuning Based on Virtual Internal Model Tuning Considering Input Limitation

Abstract

In this study, I expands the result on Virtual internal model tuning so as to address the input limitation explicitly. The proposed method can realize desired closed-loop response even when the initial control signal is saturated. I verified the validity of the proposed methods via experiment verifications.