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Fractional order-based pid controller design with genetic algorithm (FOPID-GA) for aircraft landing gear shock absorber mechanism
(İstanbul Ticaret Üniversitesi, 2024) Dagal, Idriss; 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.