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July 23, 2026Scientific ReportsOpen Access

Optimal control of a heat flow system via novel enhanced quadratic interpolation optimization tuned 2DOF-PID controller

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Authors

GYGökhan YüksekKCKaan CanSESerdar Ekinci

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Overview

Randomized trial demonstrates improved temperature regulation in heat flow systems, suggesting effective control methods.

Key Points

  • The aim is to optimize temperature control in a heat flow system using an enhanced PID controller tuning method.
  • Implemented a two-degree-of-freedom PID controller tuned by an enhanced quadratic interpolation optimization algorithm.
  • Evaluated eQIO against multiple other optimization algorithms using benchmark functions and experimental setups.
  • Conducted experiments under various reference signals to assess controller performance.
  • eQIO reduced total mean absolute error by 14.8% for step-square signals and by 45.8% for step-sinusoidal signals compared to the original QIO-based controller.
  • Demonstrated improved tracking accuracy and reduced overshoot compared to other optimizer-based tuning methods.
  • Showed higher reliability and robustness in convergence without added algorithm complexity.

Cite This Study

Yüksek et al. (2026) studied this question.

synapsesocial.com/papers/6a61afe0faa9903c5116a9abhttps://doi.org/10.1038/s41598-026-62513-3
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