Finite-time Prescribed Performance Cooperative Control of Multiple Unmanned Aerial Vehicles under Actuator Faults

This paper proposes a finite-time prescribed performance fault-tolerant cooperative control method for multiple unmanned aerial vehicles (UAVs) encountering actuator faults. First, the model of the UAV is transformed into a control-oriented model, and the actuator faults are considered in the study. Then, an adaptive adjustment signal is introduced into prescribed performance function to enhance the robustness, thereby improving its control performance. Moreover, a finite-time radial basis function neural network disturbance observer is constructed to deal with the unknown nonlinear terms caused by faults. Finally, simulation results verify the effectiveness of the proposed control scheme.

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Publication Details

Published
2024-11-01
DOI
https://doi.org/10.1109/cac63892.2024.10865295
Citations
1
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
0.33

Funders

Controls
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article

Finite-time Prescribed Performance Cooperative Control of Multiple Unmanned Aerial Vehicles under Actuator Faults

Ziquan Yu, Haichuan Yang, Pengyue Sun, Youmin Zhang
1 citations
Adaptive Control of Nonlinear Systems
0.33
article

Finite-time Prescribed Performance Cooperative Control of Multiple Unmanned Aerial Vehicles under Actuator Faults

Ziquan Yu, Haichuan Yang, Pengyue Sun, Youmin Zhang
article en
1 citations

Abstract

This paper proposes a finite-time prescribed performance fault-tolerant cooperative control method for multiple unmanned aerial vehicles (UAVs) encountering actuator faults. First, the model of the UAV is transformed into a control-oriented model, and the actuator faults are considered in the study. Then, an adaptive adjustment signal is introduced into prescribed performance function to enhance the robustness, thereby improving its control performance. Moreover, a finite-time radial basis function neural network disturbance observer is constructed to deal with the unknown nonlinear terms caused by faults. Finally, simulation results verify the effectiveness of the proposed control scheme.

Concordia University (CA), Nanjing University of Aeronautics and Astronautics (CN)
National Natural Science Foundation of China, Natural Science Foundation of Jiangsu Province, Aeronautical Science Foundation of China, Fundamental Research Funds for the Central Universities
Climate action
Openalex Percentile: Top 37%
Adaptive Control of Nonlinear Systems
0.33
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Finite-time Prescribed Performance Cooperative Control of Multiple Unmanned Aerial Vehicles under Actuator Faults — Ziquan Yu, Haichuan Yang, et al. · (2024) | TGRS Research Map | TGRS