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

  • 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.

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  • Auto-Tuning PID Controller Based on Gen

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Abstract

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.

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