On the Data-driven Update of the Free Parameter in the Generalized Internal Model Controller by Using FRIT

  • OKUYA Akihiro
    Graduate School of Natural Sciences and Technology, Kanazawa University
  • KANEKO Osamu
    Graduate School of Informatics and Engineering, The University of Electro-Communications

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Other Title
  • FRITを用いた一般化内部モデル制御器における自由パラメータのデータ駆動型更新
  • FRIT オ モチイタ イッパンカ ナイブ モデル セイギョキ ニ オケル ジユウ パラメータ ノ データ クドウガタ コウシン

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Abstract

In this paper, we propose a data-driven approach to controller update in the generalized internal model control (GIMC) architecture, which was proposed by K. Zhou. Particularly, we focus on the update of the free parameter in this structure to maintain the performance of the controller. The update method we apply here is the fictitious reference iterative tuning (FRIT), which enables to obtain the desirable parameter with only using one-shot experiment. We also show the cost function used in the FRIT is related to the enhancement of the controller performance. To show the validity of the proposed method, we give an illustrative example.

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