Active fault‐tolerant control of multi‐unmanned aerial vehicle system with time‐varying topology

Abstract This paper studies an active fault‐tolerant control problem for multi‐UAV (unmanned aerial vehicle) system with time‐varying topology subject to actuator failures. A polytopic model is used to construct the time‐varying topological structure. Based on the quantitative estimation method of actuator faults' upper limit, an adaptive fault‐tolerant tracking control strategy is established by an active adjusting control parameters to compensate for unknown actuator faults, so as to obtain consensus tracking under time‐varying topology. Furthermore, the comparison simulations with the traditional control algorithm are given to demonstrate the effectiveness of the obtained results. The tracking control strategy in this paper has better fault tolerance performance with short tracking time and superior robustness.

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Publication Details

Journal
Asian Journal of Control
Published
2024-10-11
DOI
https://doi.org/10.1002/asjc.3510
Citations
1
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.35
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article

Active fault‐tolerant control of multi‐unmanned aerial vehicle system with time‐varying topology

Shengli Du, Chongchong Han, Lijing Dong, Ying Xie
1 citations
Asian Journal of Control
Distributed Control Multi-Agent Systems
0.35
article

Active fault‐tolerant control of multi‐unmanned aerial vehicle system with time‐varying topology

Shengli Du, Chongchong Han, Lijing Dong, Ying Xie
article en
1 citations

Abstract

Abstract This paper studies an active fault‐tolerant control problem for multi‐UAV (unmanned aerial vehicle) system with time‐varying topology subject to actuator failures. A polytopic model is used to construct the time‐varying topological structure. Based on the quantitative estimation method of actuator faults' upper limit, an adaptive fault‐tolerant tracking control strategy is established by an active adjusting control parameters to compensate for unknown actuator faults, so as to obtain consensus tracking under time‐varying topology. Furthermore, the comparison simulations with the traditional control algorithm are given to demonstrate the effectiveness of the obtained results. The tracking control strategy in this paper has better fault tolerance performance with short tracking time and superior robustness.

Asian Journal of ControlVol. 27(3)
Beijing Jiaotong University (CN), Beijing University of Technology (CN), Beijing Agricultural Machinery Research Institute (CN)
Openalex Percentile: Top 38%
Distributed Control Multi-Agent Systems
0.35
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Active fault‐tolerant control of multi‐unmanned aerial vehicle system with time‐varying topology — Shengli Du, Chongchong Han, et al. · Asian Journal of Control (2024) | TGRS Research Map | TGRS