A Sliding Mode Approach to Vector Field Path Following for a Fixed-Wing UAV

Unmanned aerial vehicle (UAV) technology has recently experienced increasing development, leading to the creation of a wide variety of autonomous solutions. In this paper, a guidance strategy for straight and orbital paths following fixed-wing small UAVs is presented. The proposed guidance algorithm is based on a reference vector field as desired, with 16 courses for the UAV to follow. A sliding mode approach is implemented to improve the robustness and effectiveness, and the asymptotic convergence of the aircraft to the desired trajectory in the presence of constant wind disturbances is proved according to Lyapunov. The algorithm exploits the banking dynamics and generates reference signals for the inner-loop aileron control. A MATLAB&Simulink® simulation environment is used to verify the performance and robustness of the compared guidance algorithms. This high-fidelity model considers the six-degrees-of-freedom (DoF) whole-flight dynamics of the UAV and it is based on experimental flight test data to implement the aerodynamic behavior.

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Publication Details

Journal
Robotics
Published
2025-01-09
DOI
https://doi.org/10.3390/robotics14010007
Citations
1
Primary Topic
Guidance and Control Systems
Type
article
Field-Weighted Citation Impact
4.99
Controls
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article

A Sliding Mode Approach to Vector Field Path Following for a Fixed-Wing UAV

Luca Pugi, Lorenzo Franchi, Samuele Favilli, Giuseppe Mattei
1 citations
Robotics
Guidance and Control Systems
4.99
article

A Sliding Mode Approach to Vector Field Path Following for a Fixed-Wing UAV

Luca Pugi, Lorenzo Franchi, Samuele Favilli, Giuseppe Mattei
article en
1 citations

Abstract

Unmanned aerial vehicle (UAV) technology has recently experienced increasing development, leading to the creation of a wide variety of autonomous solutions. In this paper, a guidance strategy for straight and orbital paths following fixed-wing small UAVs is presented. The proposed guidance algorithm is based on a reference vector field as desired, with 16 courses for the UAV to follow. A sliding mode approach is implemented to improve the robustness and effectiveness, and the asymptotic convergence of the aircraft to the desired trajectory in the presence of constant wind disturbances is proved according to Lyapunov. The algorithm exploits the banking dynamics and generates reference signals for the inner-loop aileron control. A MATLAB&Simulink® simulation environment is used to verify the performance and robustness of the compared guidance algorithms. This high-fidelity model considers the six-degrees-of-freedom (DoF) whole-flight dynamics of the UAV and it is based on experimental flight test data to implement the aerodynamic behavior.

RoboticsVol. 14(1)
University of Florence (IT)
Affordable and clean energy
Openalex Percentile: Top 8%
Guidance and Control Systems
4.99
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