Virtual Internal Model Tuningの構造を利用したデータ駆動予測

抄録

For tuning controllers, various methods had been proposed. In this paper, data-driven prediction methods based on data-driven controls are proposed. Proposed methods can predict closed-loop responses of controllers before experiment verifications. Compared to conventional methods, proposed methods can predict control responses in the case where the updated controller has unstable zero point. In this paper, the validity of the proposed method is verified through experiments.