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Designing a fuzzy-based PID controller for separation control in the backward-facing step flow

  • Istanbul Technical University
  • University of Calgary

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

Flow separation and high drag can lead to increased energy consumption and potential device failure in some applications. We present a novel concept that mitigates these effects on the Backward Facing Step by controlling a single sinusoidal synthetic jet actuator located on the step wall. We conducted numerical simulations at Reynolds numbers of 200, 300, and 400 using a finite-volume flow solver. The numerical results were validated against existing literature data. Transfer functions for the system were derived from these numerical results. The actuator is regulated using a Proportional-Integral-Derivative (PID) controller. We also compared the performance effects of three PID parameter tuning methods: the classical Ziegler–Nichols (referred to as PID), fuzzy PID (FPID), and optimized fuzzy PID (OptFPID). The results indicated that FPID is more efficient than the conventional PID controller, showing a 17.39% reduction in recirculation length compared to scenarios without a synthetic jet. Physical interpretations revealed that the corner vortex is wider and taller when a jet is present, suggesting the expansion of the recirculation region toward the step wall, which leads to a decrease in recirculation length.

Original languageEnglish
Article number109144
JournalInternational Communications in Heat and Mass Transfer
Volume167
DOIs
Publication statusPublished - Sept 2025

Bibliographical note

Publisher Copyright:
© 2025 Elsevier Ltd

Keywords

  • Backward-facing step
  • Fuzzy inference system
  • Genetic algorithm
  • PID controller

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