Prescribed‐Time Bipartite Formation Control for Heterogeneous UGVs–UAVs Systems With Improved Extended State Observers

ABSTRACT This article aims to address two challenging issues in heterogeneous systems composed of unmanned aerial vehicles (UAV) and unmanned ground vehicles (UGV): 1) compensating for system disturbances within prescribed‐time and 2) maintain the non‐zero speed of heterogeneous UAVs and UGVs system(HUUS) under complex constraints. The main difficulty lies in how to effectively compensate for external disturbances and internal unknown dynamics within prescribed‐time while satisfying constraints, and simultaneously ensuring that the HUUS maintains non‐zero velocity. To overcome these challenges, an improved prescribed‐time extended state observer (PTESO) is proposed in this article. This observer can estimate uncertainties and disturbances, with the convergence time that can be pre‐adjusted independently of initial conditions. By adopting an improved time‐varying function as the PTESO gain, the transient peak phenomenon caused by excessive gain is avoided. To make the formation error converge within prescribed‐time without violating error constraints, a time‐varying barrier Lyapunov function is introduced in the control strategy, a prescribed‐time bipartite formation control strategy based on the extended state observer is proposed. Furthermore, to address the problem that the speed tends to zero in the cross‐dimensional model system, a comprehensive dynamic model of HUUS is derived, ensuring that the system velocity maintains the value. Compared with existing schemes, the proposed observer and controller demonstrate faster and more stable convergence performance. Finally, the effectiveness of the designed method is verified through simulation examples, proving the significant improvement in robustness and dynamic response capability of HUUS.

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Institutions

Publication Details

Journal
International Journal of Robust and Nonlinear Control
Published
2025-04-23
DOI
https://doi.org/10.1002/rnc.7972
Citations
1
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
1.49

Funders

Controls
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article

Prescribed‐Time Bipartite Formation Control for Heterogeneous UGVs–UAVs Systems With Improved Extended State Observers

Chaoxu Mu, Yingjiang Zhou, Cheng Hu, Guoping Jiang et al.
1 citations
International Journal of Robust and Nonlinear Control
Distributed Control Multi-Agent Systems
1.49
article

Prescribed‐Time Bipartite Formation Control for Heterogeneous UGVs–UAVs Systems With Improved Extended State Observers

Chaoxu Mu, Yingjiang Zhou, Cheng Hu, Guoping Jiang, Shaojun Zhou
article en
1 citations

Abstract

ABSTRACT This article aims to address two challenging issues in heterogeneous systems composed of unmanned aerial vehicles (UAV) and unmanned ground vehicles (UGV): 1) compensating for system disturbances within prescribed‐time and 2) maintain the non‐zero speed of heterogeneous UAVs and UGVs system(HUUS) under complex constraints. The main difficulty lies in how to effectively compensate for external disturbances and internal unknown dynamics within prescribed‐time while satisfying constraints, and simultaneously ensuring that the HUUS maintains non‐zero velocity. To overcome these challenges, an improved prescribed‐time extended state observer (PTESO) is proposed in this article. This observer can estimate uncertainties and disturbances, with the convergence time that can be pre‐adjusted independently of initial conditions. By adopting an improved time‐varying function as the PTESO gain, the transient peak phenomenon caused by excessive gain is avoided. To make the formation error converge within prescribed‐time without violating error constraints, a time‐varying barrier Lyapunov function is introduced in the control strategy, a prescribed‐time bipartite formation control strategy based on the extended state observer is proposed. Furthermore, to address the problem that the speed tends to zero in the cross‐dimensional model system, a comprehensive dynamic model of HUUS is derived, ensuring that the system velocity maintains the value. Compared with existing schemes, the proposed observer and controller demonstrate faster and more stable convergence performance. Finally, the effectiveness of the designed method is verified through simulation examples, proving the significant improvement in robustness and dynamic response capability of HUUS.

International Journal of Robust and Nonlinear ControlVol. 35(12)
Anhui University (CN), Tianjin University (CN), Nanjing University of Posts and Telecommunications (CN), Xinjiang University (CN)
National Natural Science Foundation of China, Nanjing University of Posts and Telecommunications, Nanjing University
Openalex Percentile: Top 18%
Distributed Control Multi-Agent Systems
1.49
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