Design of a Database-Driven PID Controller with Clustering Method based on BIC

カテゴリ: 部門大会

論文No: SS1-5

グループ名: 【C】2021年電気学会電子・情報・システム部門大会

発行日: 2021/09/08

タイトル(英語): Design of a Database-Driven PID Controller with Clustering Method based on BIC

著者名: 増田 昌泰（広島大学）,脇谷 伸（広島大学）,山本 透（広島大学）

著者名(英語): Masayasu Masuda (Hiroshima University),Shin Wakitani (Hiroshima University),Toru Yamamoto (Hiroshima University)

キーワード: データベース駆動型制御|k-means クラスタリング|x-means法|ベイズ情報量規準|Database-driven control|k-means clustering|x-means clustering|Bayesian information criterion

要約(日本語): Since most industrial systems have nonlinearities, it is difficult to obtain sufficient control performance by a PID controller with fixed gains. A database-driven PID (DD-PID) control has been proposed as one of effective controller design methods for such systems. The DD-PID controller adjusts PID gains adaptively according to the changes of equilibrium point of a system. Since a lot of computation time are required if the size of database is large, a method of dividing the database has been proposed. However, in this scheme, the number of partitions of a database must be determined by trial and error. This study proposes a method that automatically determines the number of partitions of the database based on the x-means method that uses Bayesian information criterion.

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