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Experimental evaluation of a controller using a variable transformation Smith predictor for a nonlinear process with

R Anandanatarajan1, S Mourougapragash

  • 1Department of Electronics and Instrumentation Engineering, Pondicherry Engineering College, Puducherry, 605 014, India. ananda_natarajan@pec.edu

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|February 15, 2008
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Summary

A novel globally linearized controller (GLC) was tested for hemispherical tank level control. This new method, combining Smith prediction and variable transformation, outperformed the traditional PI controller.

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Area of Science:

  • Process Control
  • Chemical Engineering
  • Automation Systems

Background:

  • Hemispherical tank level control presents challenges due to nonlinearity and dead time.
  • Conventional controllers like PI may struggle with precise level regulation in such systems.
  • Advanced control strategies are needed for improved performance.

Purpose of the Study:

  • To experimentally evaluate a globally linearized controller (GLC) for a hemispherical tank level process.
  • To compare the performance of the GLC with a conventional PI controller.
  • To assess the effectiveness of a controller combining Smith prediction and variable transformation.

Main Methods:

  • Implementation of a globally linearized controller (GLC) based on Smith prediction and variable transformation.
  • Experimental setup of a hemispherical tank level process.
  • Comparative analysis against a conventional Proportional-Integral (PI) controller at a 50% operating point.

Main Results:

  • The globally linearized controller (GLC) demonstrated effective control of the hemispherical tank level.
  • Experimental results showed superior performance of the GLC compared to the PI controller.
  • The combined Smith prediction and variable transformation approach proved successful in handling dead time and nonlinearity.

Conclusions:

  • The globally linearized controller (GLC) is a viable and effective solution for hemispherical tank level control.
  • Variable transformation combined with Smith prediction offers significant advantages over conventional PI control for this application.
  • Experimental validation confirms the practical applicability of the proposed advanced control strategy.