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This study compares the use of fuzzy logic controllers (FLC) with proportional-integral-derivative (PID) controllers in the modeling and simulation of a fuel system for a twin-engine aircraft using MATLAB-Simulink. After developing a thorough mathematical model of the fuel system, both control systems were put into practice in order to evaluate how well they performed in various operational conditions. The outcomes demonstrate that the FLC outperforms the PID controller in handling nonlinearities and system uncertainties. Notably, the FLC settles faster (0.0392 s versus 0.0589 s for PID) and shows a lower overshoot (7.07%) than PID (11.02%). Although the FLC exhibits more effective stabilization and smoother system control than the PID controller (0.0107 s against 0.0095 s), the PID controller has a somewhat faster rise time.

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Comparative Study of Pid and Fuzzy Logic Control Strategies for Twin-Engine Aircraft Fuel Systems

  • 会议论文

  • 发表日期：

    2026年

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  • Moniya,
  • Dheeraj Minglani,
  • Uma Shankar,
  • Amit Kumar,
  • Anushka Gupta

摘要

This study compares the use of fuzzy logic controllers (FLC) with proportional-integral-derivative (PID) controllers in the modeling and simulation of a fuel system for a twin-engine aircraft using MATLAB-Simulink. After developing a thorough mathematical model of the fuel system, both control systems were put into practice in order to evaluate how well they performed in various operational conditions. The outcomes demonstrate that the FLC outperforms the PID controller in handling nonlinearities and system uncertainties. Notably, the FLC settles faster (0.0392 s versus 0.0589 s for PID) and shows a lower overshoot (7.07%) than PID (11.02%). Although the FLC exhibits more effective stabilization and smoother system control than the PID controller (0.0107 s against 0.0095 s), the PID controller has a somewhat faster rise time.