Automatic Detection of Self-excited Oscillations and Re-Tuning of Poorly Tuned PID Controllers

DOI Web Site 16 References
  • Ootakara Shigeki
    Engineering Division Production & Technology Center, Mitsui Chemicals, Incorporated
  • Yamashita Yoshiyuki
    Department of Chemical Engineering, Tokyo University of Agriculture and Technology

Bibliographic Information

Other Title
  • 不適切なPIDパラメータ設定による自励振動応答の自動検出とPID再調整

Abstract

<p>Poorly tuned PID parameters often cause self-excited oscillation. We have already reported a method to obtain a closed-loop identification model from self-excited oscillatory time-series data. We have also reported a method to de-sign PID parameters based on IMC theory. However, automatic detection of the self-excited oscillatory control loops had been an unsolved problem. In this work, we propose an automatic method to detect the damped sine wave response from time-series data. The proposed detection method was implemented with the closed-loop identification method and the PID parameter design method. The method was first applied to the simulated vinyl acetate monomer (VAM) process and all the self-excited oscillations were well detected automatically. Then, the method was applied to thousands of real industrial control loops, whereby tens of poorly tuned controllers were found within several hours, suggesting re-tuned PID parameters. An example of the control response of the re-tuned PID controller with the suggested parameters shows great improvement of the control performance.</p>

Journal

  • KAGAKU KOGAKU RONBUNSHU

    KAGAKU KOGAKU RONBUNSHU 48 (4), 131-140, 2022-07-20

    The Society of Chemical Engineers, Japan

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