Practical Predefined Time Sliding Mode Control of Multiple Quadrotor Unmanned Aerial Vehicles

This paper studies the problem of tracking control of multiple quadrotor Unmanned Aerial Vehicles (QUAVs) under an undirected topological graph considering unknown disturbances and aerodynamic effects. First, designing a lead-time state observer is suggested to facilitate the estimation of pertinent state information regarding the virtual leader before a predefined time (PDT). Then, based on the <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$K^{1}$</tex> function, continuous PDT non-singular sliding surfaces are established; on this basis, a PDT sliding mode controller is developed for each QUAV to ensure that the tracking errors converge to a predefined region within a PDT. Finally, the effectiveness of the proposed control algorithm is verified against the numerical simulation experiments.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/csis-iac63491.2024.10919325
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
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article

Practical Predefined Time Sliding Mode Control of Multiple Quadrotor Unmanned Aerial Vehicles

Jiaoxia Zhang, Qingnan Huang, Lina Yin, Xiangsuo Fan
Adaptive Control of Nonlinear Systems
article

Practical Predefined Time Sliding Mode Control of Multiple Quadrotor Unmanned Aerial Vehicles

Jiaoxia Zhang, Qingnan Huang, Lina Yin, Xiangsuo Fan
article en

Abstract

This paper studies the problem of tracking control of multiple quadrotor Unmanned Aerial Vehicles (QUAVs) under an undirected topological graph considering unknown disturbances and aerodynamic effects. First, designing a lead-time state observer is suggested to facilitate the estimation of pertinent state information regarding the virtual leader before a predefined time (PDT). Then, based on the <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$K^{1}$</tex> function, continuous PDT non-singular sliding surfaces are established; on this basis, a PDT sliding mode controller is developed for each QUAV to ensure that the tracking errors converge to a predefined region within a PDT. Finally, the effectiveness of the proposed control algorithm is verified against the numerical simulation experiments.

Beijing Institute of Technology (CN), Guangxi University of Science and Technology (CN), Zhuhai Institute of Advanced Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 64%
Adaptive Control of Nonlinear Systems
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