拡張出力に基づく直接型セルフチューニングPID制御系の一設計法

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2018/05/01

タイトル(英語): Design of an Implicit Self-tuning PID Controller based on an Augmented Output

著者名: 芦田　洋一郎（広島大学大学院工学研究科），脇谷　伸（広島大学大学院工学研究科），山本　透（広島大学大学院工学研究科）

著者名(英語): Yoichiro Ashida (Graduate School of Engineering, Hiroshima University), Shin Wakitani (Graduate School of Engineering, Hiroshima University), Toru Yamamoto (Graduate School of Engineering, Hiroshima University)

キーワード: PID制御器，データ指向型制御，セルフチューニング制御，逐次最小二乗法，温度制御　　PID controller，data-oriented control，self-tuning control，recursive least squares，temperature control

要約(英語): PID controllers have been widely employed in real process systems. Since PID gains strongly affect the control performance, lots of schemes for tuning PID gains have been proposed. In processes industries, most of the PID controllers have fixed PID gains. However, it is impossible to obtain good control performance for time-variant systems by the fixed PID controllers. Therefore, it is important to tune PID gains in an on-line manner. In addition, especially in process systems, it is difficult to practice an open-loop experiment. Since, it is important to determine PID gains directly from the closed-loop operating data. In this paper, in order to overcome these problems, an implicit self-tuning PID control scheme is proposed. In the proposed method, a new PID gain tuning law based on an augmented output generated by closed-loop data is introduced, and recursive least squares method is applied to tune the parameters in an on-line manner. The effectiveness of the controller design scheme is evaluated by simulation and experimental examples.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.138 No.5 （2018） 特集：データの計測・解析と制御技術への応用

本誌掲載ページ: 549-555 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/138/5/138_549/_article/-char/ja/