Data-driven Response Estimation and Controller Tuning

—Proposal of Reference Manipulated-variable

Abstract

In the present study, the response of a reference manipulated-variable is estimated directly from data, and the controller parameters of a fixed structure controller are optimized so that a closed-loop system is close to a reference model. Since a regularization method is used in the response estimation method, the estimation accuracy is prevented from deteriorating due to noise effects. In the proposed data-driven design, a pre-filter is designed to compensate for the difference between a model-based model reference problem and the proposed data-driven objective function.