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Updated: Dec 10, 2025

The Frequency Domain Thermoreflectance Technique for Thermal Property Measurements
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Frequency frame approach on tuning FOPI controller for TOPTD thermal processes.

Uğur Demiroğlu1, Bilal Şenol2

  • 1Department of Computer Sciences, Technical Vocational School, Fırat University, Elazığ, Turkey.

ISA Transactions
|September 3, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a novel frequency frame method to tune fractional order controllers for thermal processes. This approach enhances system robustness and performance by flattening the phase curve.

Keywords:
FOPI controllerFrequency frameIso-dampingLoop-shapingTOPTD plant

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Area of Science:

  • Control Engineering
  • Process Control
  • Thermal Systems

Background:

  • Third order plus time delay plants are common in thermal processes like air heaters and boilers.
  • Robustness is critical for thermal systems, necessitating advanced controller tuning methods.
  • Existing methods for phase curve flattening have limitations.

Purpose of the Study:

  • To develop a new method for tuning fractional order proportional-integral controllers.
  • To improve the stability, performance, and robustness of thermal process control systems.
  • To achieve improved robustness by flattening the phase curve in the Bode plot.

Main Methods:

  • A novel 'frequency frame' technique is proposed to tune controllers.
  • Gain and phase crossover frequencies are enclosed within a rectangular frame.
  • Tuning is achieved by adjusting the frame's edge lengths to modify gain and phase margins, flattening the phase curve.

Main Results:

  • The frequency frame method successfully tunes controllers for improved robustness and performance.
  • Demonstrations on an electrical air heater and a bagasse fired boiler show enhanced gain and phase properties.
  • The method ensures the iso-damping property alongside improved robustness.

Conclusions:

  • The proposed frequency frame method offers an effective approach for tuning fractional order controllers in thermal systems.
  • This technique significantly enhances system robustness and performance, addressing critical industrial needs.
  • The study provides a practical and validated method for improving control of complex thermal processes.