Auto-Tuning PID Controller Based on Generalized Minimum Variance Control for a PVC Reactor.

DOI Web Site Web Site 被引用文献1件 参考文献11件
  • Miura Norio
    Department of Mechanical Engineering, Faculty of Engineering, University of Tokushima
  • Imaeda Masao
    Department of Mechanical Engineering, Faculty of Engineering, University of Tokushima
  • Hashimoto Kyoji
    Department of Mechanical Engineering, Faculty of Engineering, University of Tokushima
  • Wood R. K.
    Department of Chemical and Materials Engineering, University of Alberta
  • Hattori Hirofumi
    Toa Gosei Ind. Co. Ltd.
  • Onishi Mituyoshi
    Toa Gosei Ind. Co. Ltd.

書誌事項

タイトル別名
  • Auto-Tuning PID Controller Based on Gen

この論文をさがす

抄録

The control of PVC reactors is usually accomplished by using a PID control algorithm, despite attempts at using different advanced control algorithms and strategies. This paper presents simulation results from the application of a PID on-line auto-tuning controller based on robust adaptive control theory. PVC reactor control performance achieved using the combined PID auto-tuning controller is compared with that obtained using a conventional fixed parameter PID algorithm. Stable control behavior is achieved, and the response settles quickly with the PID controller parameters adapted to achieve generalized minimum variance control. Also, a method for estimating the turning point in a polymerization process is proposed.

収録刊行物

被引用文献 (1)*注記

もっと見る

参考文献 (11)*注記

もっと見る

キーワード

詳細情報 詳細情報について

問題の指摘

ページトップへ