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Simplified filtered Smith predictor for high-order dead-time processes.

Bismark C Torrico1, René D O Pereira1, Andresa K R Sombra1

  • 1Department of Electrical Engineering, Federal University of Ceará, 60455-760 Fortaleza, CE, Brazil.

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|October 11, 2020
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Summary
This summary is machine-generated.

This study introduces a simpler control structure for non-minimum phase (NMP) processes. The new design avoids integrators, reducing tuning parameters and improving performance for complex industrial systems.

Keywords:
Dead-time compensatorHigh-order processesNon-minimum phaseRobustness filterSmith predictorTime delay

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Area of Science:

  • Process Control
  • Control Systems Engineering
  • Chemical Engineering

Background:

  • High-order non-minimum phase (NMP) processes present significant control challenges.
  • Traditional dead-time compensators (DTCs) often involve complex controllers with integrators.
  • Existing methods can lead to extensive parameter tuning and higher-order filter requirements.

Purpose of the Study:

  • To propose a novel control structure for high-order NMP processes.
  • To simplify controller design by eliminating integrators in the primary controller.
  • To maintain or improve control performance while reducing design complexity.

Main Methods:

  • Development of a control structure featuring a state feedback gain as the primary controller.
  • Integration of a robustness filter to ensure steady-state error rejection and disturbance handling.
  • Design based on a delay-free model of the NMP process.

Main Results:

  • The proposed controller structure requires fewer tuning parameters compared to conventional DTCs.
  • Lower-order filters are utilized, simplifying implementation.
  • Simulation results demonstrate superior or comparable performance against recent advanced control strategies.
  • Controller design simplicity is maintained.

Conclusions:

  • The proposed control structure offers a simplified yet effective approach for controlling high-order NMP systems.
  • The elimination of integrators in the primary controller enhances design simplicity and reduces tuning effort.
  • The robustness filter ensures reliable performance under disturbances and steady-state conditions.