Yazar "Erol, Bilal" seçeneğine göre listele

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    Enhancing Dynamic Control and Stability Assessment of Cessna 172 Aircraft with a PID Controller for New Pilot Trainees
    (Springer, 2025) Dagal, Idriss; Erol, Bilal; Harrison, Ambe; Mbasso, Wulfran Fendzi; Ibrahim, AL-Wesabi
    This research proposes a novel approach to enhance the dynamic control and stability assessment of the Cessna 172 aircraft for new pilot trainees by incorporating a proportional-integral-derivative (PID) controller. The PID controller is designed to improve the aircraft's responsiveness to control inputs, reduce overshoot and settling time, and enhance overall stability. The study involves developing a mathematical model of the Cessna 172's longitudinal dynamics, designing a PID controller, and conducting simulations to evaluate the performance of the PID-controlled aircraft. The evaluation focuses on key metrics such as stability, responsiveness, overshoot, and settling time. The results of the study demonstrate that the PID controller effectively enhances the dynamic control and stability of the Cessna 172, providing new pilot trainees with a safer and more efficient learning experience. The PID controller's ability to mitigate the effects of pilot errors and disturbances contributes to improved flight performance and reduced risk of accidents. Future research directions include exploring the use of adaptive PID controllers, integrating PID controllers with other advanced flight control systems, and conducting flight tests to validate the performance of the PID-controlled Cessna 172 in real-world conditions.
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    FRACTIONAL ORDER-BASED PID CONTROLLER DESIGN WITH GENETIC ALGORITHM (FOPID-GA) FOR AIRCRAFT LANDING GEAR SHOCK ABSORBER MECHANISM
    (2024) Dagal, Idrıss; Erol, Bilal
    Deterioration conditions of the runway surface (deep track, cracking, raveling, and potholes ) and contaminants greatly affect the landing performance of the aircraft. In this research study, an optimal fractional order proportional integral and derivative controller (FOPID-GA) is designed with a genetic algorithm for the smooth operation of aircraft landing gear systems. To prove the effectiveness, performance, and accuracy of the proposed approach, a comparative study of the new technique and the traditional controllers such as PID, PID-TD, FOPID-TD, and PID-GA controllers was conducted on the MATLAB/Simulink platform. The simulation results clearly show that the proposed FOPID-GA controller outperforms the existing controllers in terms of performance, and damping accuracy. The effectiveness of the FOPID-GA controller is evaluated through simulation studies, demonstrating its potential to enhance aircraft landing gear performance and safety under adverse conditions.