Optimizing Aircraft Pitch Control Systems: A Novel Approach Integrating Artificial Rabbits Optimizer with PID-F Controller

(1) * Laith Abualigah Mail (1) Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, 19328, Jordan. 2) Computer Science Department, Al al-Bayt University, Mafraq, 25113, Jordan. 3) Artificial Intelligence and Sensing Technologies Research Center, University of Tabuk, Tabuk, 71491, Saudi Arabia. 4) MEU Research Unit, Middle East University, Amman, Jordan. 5) Department of Electrical and Computer Engineering, Lebanese American University, 13-5053, Byblos, Lebanon. 6) School of Computer Sciences, Universiti Sains Malaysia, 11800, Pulau Pinang, Malaysia. 7) School of Engineering and Technology, Sunway University Malaysia, 27500, Petaling Jaya, Malaysia. 8) Applied Science Research Center, Applied Science Private University, Amman, 11931, Jordan.)
(2) Davut Izci Mail (Batman University, Turkey)
(3) Serdar Ekinci Mail (Batman University, Turkey)
(4) Raed Abu Zitar Mail (Sorbonne University-Abu Dhabi, Turkey)
*corresponding author


The precise control of aircraft pitch angles is critical in aviation for maintaining specific attitudes during flight, including straight and level flight, ascents, and descents. Traditional control strategies face challenges due to the non-linear and uncertain dynamics of flight. To address these issues, this study introduces a novel approach employing the artificial rabbits optimizer (ARO) for tuning a PID controller with a filtering mechanism (PID-F) in aircraft pitch control systems. This combination aims to enhance the stability and performance of the aircraft pitch control system by effectively mitigating the kick effect through the incorporation of a filter coefficient in the derivative gain. The study employs a time-domain-based objective function to guide the optimization process. Simulation results validate the stability and consistency of the proposed ARO/PID-F approach. Comparative analysis with various optimization algorithm-based controllers from the literature demonstrates the effectiveness of the proposed technique. Specifically, the ARO/PID-F controller exhibits a rapid response, zero overshoot, minimal settling time, and precise control during critical phases. The obtained results position the proposed methodology as a promising and innovative solution for optimizing aircraft pitch control systems, offering improved performance and reliability.


Aircraft Pitch Control System, Artificial Rabbits Optimization, PID Controller with Filter, Controller Design




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