Multi-UAV adaptive super-twisting integral terminal sliding mode formation control

Abstract This paper addresses issues such as model uncertainties, actuator failures, and gust disturbances in multi-quadrotor UAV formation flight. An adaptive super-twisting integral terminal sliding mode control method is proposed, incorporating a ‘Leader-Follower’ formation control strategy. The approach includes designing an adaptive super-twisting integral terminal sliding mode controller and a formation adaptive cooperative controller. Additionally, adaptive gains are utilized to manage the effects of actuator failures, gust disturbances, and ground station interference, ensuring safe formation flight. Simulation and experimental results indicate that the proposed controller can track the target trajectory within a finite time and effectively maintain formation flight.

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Publication Details

Journal
Engineering Research Express
Published
2024-09-01
DOI
https://doi.org/10.1088/2631-8695/ad7780
Citations
1
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
0.33

Funders

Controls
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article

Multi-UAV adaptive super-twisting integral terminal sliding mode formation control

Jun Wang, Mingmin Luo
1 citations
Engineering Research Express
Adaptive Control of Nonlinear Systems
0.33
article

Multi-UAV adaptive super-twisting integral terminal sliding mode formation control

Jun Wang, Mingmin Luo
article en
1 citations

Abstract

Abstract This paper addresses issues such as model uncertainties, actuator failures, and gust disturbances in multi-quadrotor UAV formation flight. An adaptive super-twisting integral terminal sliding mode control method is proposed, incorporating a ‘Leader-Follower’ formation control strategy. The approach includes designing an adaptive super-twisting integral terminal sliding mode controller and a formation adaptive cooperative controller. Additionally, adaptive gains are utilized to manage the effects of actuator failures, gust disturbances, and ground station interference, ensuring safe formation flight. Simulation and experimental results indicate that the proposed controller can track the target trajectory within a finite time and effectively maintain formation flight.

Engineering Research ExpressVol. 6(3)
Lanzhou University of Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 43%
Adaptive Control of Nonlinear Systems
0.33
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