Enhancing Dynamic Control and Stability Assessment of Cessna 172 Aircraft with a PID Controller for New Pilot Trainees

Abstract 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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Publication Details

Journal
International Journal of Aeronautical and Space Sciences
Published
2025-02-05
DOI
https://doi.org/10.1007/s42405-025-00899-6
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Enhancing Dynamic Control and Stability Assessment of Cessna 172 Aircraft with a PID Controller for New Pilot Trainees

Wulfran Fendzi Mbasso, Bilal Erol, Ambe Harrison, AL-Wesabi Ibrahim et al.
International Journal of Aeronautical and Space Sciences
Adaptive Control of Nonlinear Systems
article

Enhancing Dynamic Control and Stability Assessment of Cessna 172 Aircraft with a PID Controller for New Pilot Trainees

Wulfran Fendzi Mbasso, Bilal Erol, Ambe Harrison, AL-Wesabi Ibrahim, Idriss Dagal
article en

Abstract

Abstract 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.

International Journal of Aeronautical and Space SciencesVol. 26(5)
University of Buea (CM), University of Douala (CM), Hunan University (CN), Yıldız Technical University (TR), Beykent University (TR)
Openalex Percentile: Top 98%
Adaptive Control of Nonlinear Systems
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Enhancing Dynamic Control and Stability Assessment of Cessna 172 Aircraft with a PID Controller for New Pilot Trainees — Wulfran Fendzi Mbasso, Bilal Erol, et al. · International Journal of Aeronautical and Space Sciences (2025) | TGRS Research Map | TGRS