Finite-Time Formation Control for Fixed-Wing UAVs Based on Fully Actuated System Approach

This paper investigates the formation control of the fixed-wing unmanned aerial vehicle (UAV) systems with unknown external disturbances. Addressing the complex modeling issues of UAVs, an innovative modeling method called fully-actuated system approach (FASA) has been innovated. Then, a distributed leader-following formation control strategy is proposed based on the position and velocity error information. Thirdly, a finite-time control strategy is designed by the error system, and the super-twisting sliding mode has been innovated to restrain the impact of the unknown disturbance. The sufficient condition for the system to reach formation is given by the Lyapunov stability theory. A simulation example is used to verify the effectiveness and feasibility of the proposed method.

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Publication Details

Published
2025-07-04
DOI
https://doi.org/10.1109/fasta65681.2025.11138209
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
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article

Finite-Time Formation Control for Fixed-Wing UAVs Based on Fully Actuated System Approach

Chen Chen, Jian Guo, Zhengyuan Li
Adaptive Control of Nonlinear Systems
article

Finite-Time Formation Control for Fixed-Wing UAVs Based on Fully Actuated System Approach

Chen Chen, Jian Guo, Zhengyuan Li
article en

Abstract

This paper investigates the formation control of the fixed-wing unmanned aerial vehicle (UAV) systems with unknown external disturbances. Addressing the complex modeling issues of UAVs, an innovative modeling method called fully-actuated system approach (FASA) has been innovated. Then, a distributed leader-following formation control strategy is proposed based on the position and velocity error information. Thirdly, a finite-time control strategy is designed by the error system, and the super-twisting sliding mode has been innovated to restrain the impact of the unknown disturbance. The sufficient condition for the system to reach formation is given by the Lyapunov stability theory. A simulation example is used to verify the effectiveness and feasibility of the proposed method.

Nanjing University of Science and Technology (CN)
Openalex Percentile: Top 70%
Adaptive Control of Nonlinear Systems
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