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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Naji Mordi Naji Al-Dosary
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DOI:10.17265/2161-6256/2023.01.001
Department of Agricultural Engineering, College of Food & Agriculture Sciences, King Saud University, Riyadh, P.O. Box 2460, Riyadh 11451, KSA
The simulation of a control system for the longitudinal axis of the rotary or fixed-wing unmanned aerial vehicles (UAVs) is demonstrated in this study. The control unit includes design considerations of two controllers to provide robust stability, tracking of the proposed linear dynamics, an adequate set of proportional-integral-derivative (PID) controller gains, and a minimal cost function. The PID control and linear quadratic regulator (LQR) with or without full-state-observer were evaluated. An optimal control system is assumed to provide fast rise and settling time, minimize overshoot, and eliminate the steady-state error. The effectiveness of this approach was verified by a linear model of the UAV aircraft in the semi-dynamic simulation platform of Matlab/Simulink, in which the open-loop system was assessed in terms of flight robustness and reference tracking. The experimental results show that the proposed controllers effectively improve the configuration of the control system of the plant, maintain the sustainability of the dynamic flight model stability, and diminish the flight controller errors. The LQR provides robust stability, but it is not optimal in the transient phase of particular plant output. The PID control system can adjust the controller’s gains for optimal hovering (or stable slow flight) and is especially useful for the tracking system. Finally, comparing aircraft stability using PID and LQR controllers shows that the latter has less overshoot and a shorter settling time; in addition, all proposed controllers can be practically deployed as one UAV’s system, which can be handled as an exemplary model of the UAV flight management system.
Agricultural applications, cost function, dynamic model, PID & LQR controllers, steady-state error, UAV aircraft.
Al-Dosary, N. M., 2023. "Functional Sustainability of a Flight Dynamics Control System for Stable Hovering Flight of an Unmanned Aerial Vehicle (UAV), such as in Agricultural Applications: Mathematical Modeling and Simulation " Journal of Agricultural Science and Technology A 13 (2023): 1-29.
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