最小次元オブザーバを併用した積分型サーボ系に対する制御器とモデルのFRITベースド同時更新

抄録

In this paper, we consider the simultaneous improvement of a controller and a model for an integral type servo system with a minimal-order state observer. The authors have already studied this issue for the full-state observer. However, in the case in which it is preferable to implement a controller as simply as possible and it is possible to observe a part of state variables directly, utilization of the minimal-state observer is desirable. Thus, this paper extends the previous result on the full state observer to the minimal order state observer case. By employing Fictitious Reference Iterative Tuning (FRIT), we give an effective method of a parameter tuning with only one-shot experimental data for the improvement of a controller that achieves more desired tracking property than the initial controller and a model that reflects the dynamics more accurately than the nominal model, respectively. Finally, we give an illustrative example to show the validity of the proposed method.