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Data-based approach for feedback-feedforward controller design using closed-loop plant data.

Jyh-Cheng Jeng1, Guo-Ping Ge1

  • 1Department of Chemical Engineering and Biotechnology, National Taipei University of Technology, Taipei, 106, Taiwan.

ISA Transactions
|July 26, 2018
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Summary
This summary is machine-generated.

This study introduces a novel data-based method for designing feedback and feedforward controllers without process models. The approach uses closed-loop plant data for robust and improved control system performance.

Keywords:
Data-based controller designFeedforward controlPID controlProcess controlVirtual reference feedback tuning

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Area of Science:

  • Process Control
  • Automation Engineering
  • Control Systems Design

Background:

  • Feedback control is essential but reactive to disturbances.
  • Feedforward control proactively manages measurable disturbances.
  • Existing methods often rely on complex model identification.

Purpose of the Study:

  • To present a novel data-based method for designing feedback and feedforward controllers.
  • To eliminate the need for process and disturbance model identification.
  • To improve the performance of existing control systems.

Main Methods:

  • A data-based approach using closed-loop plant data.
  • Sequential design of feedback (PID) and feedforward (lead-lag) controllers.
  • Utilizing plant data integrals for robustness against measurement noise.

Main Results:

  • The proposed method designs controllers directly from operational data.
  • It offers robustness against measurement noise.
  • Simulation studies show superior performance compared to existing methods.

Conclusions:

  • The data-based method provides an effective alternative to model-based control design.
  • It enhances both new and existing feedback-feedforward control systems.
  • The approach is robust and outperforms traditional techniques.