Control allocation technology based on fault diagnosis for the unmanned aerial vehicle system subject to physical constraints and fault reconfiguration mismatch

The problem of the system robustness subject to physical constraints and mismatched fault reconstruction is discussed in this paper. In order to facilitate the design, a four‐rotor unmanned aerial vehicle (UAV) system model was selected for research. First, the control allocation model of the nonlin...

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Published inAsian journal of control Vol. 25; no. 2; pp. 1675 - 1683
Main Authors Wang, Zailin, Yao, Lina
Format Journal Article
LanguageEnglish
Published Hoboken Wiley Subscription Services, Inc 01.03.2023
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Abstract The problem of the system robustness subject to physical constraints and mismatched fault reconstruction is discussed in this paper. In order to facilitate the design, a four‐rotor unmanned aerial vehicle (UAV) system model was selected for research. First, the control allocation model of the nonlinear UAV system with disturbances is shown in the paper. Secondly, a weighted pseudo‐inverse method based on adaptive weights is proposed, which reduces the impact of physical constraints on the system. After that, a dynamic weight control allocation method based on the fault efficiency matrix is designed. The weight matrix can dynamically adjust the control distribution law according to the fault estimation value provided by the observer. Then, a dynamic adaptive control allocation method for faults and physical constraints is carried out by combining adaptive weights and dynamic weights. Finally, a simulation example is presented to further illustrate the effectiveness of the algorithm proposed in this paper.
AbstractList The problem of the system robustness subject to physical constraints and mismatched fault reconstruction is discussed in this paper. In order to facilitate the design, a four‐rotor unmanned aerial vehicle (UAV) system model was selected for research. First, the control allocation model of the nonlinear UAV system with disturbances is shown in the paper. Secondly, a weighted pseudo‐inverse method based on adaptive weights is proposed, which reduces the impact of physical constraints on the system. After that, a dynamic weight control allocation method based on the fault efficiency matrix is designed. The weight matrix can dynamically adjust the control distribution law according to the fault estimation value provided by the observer. Then, a dynamic adaptive control allocation method for faults and physical constraints is carried out by combining adaptive weights and dynamic weights. Finally, a simulation example is presented to further illustrate the effectiveness of the algorithm proposed in this paper.
Author Wang, Zailin
Yao, Lina
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  surname: Yao
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  organization: Zhengzhou University
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Snippet The problem of the system robustness subject to physical constraints and mismatched fault reconstruction is discussed in this paper. In order to facilitate the...
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StartPage 1675
SubjectTerms Adaptive control
adaptive weights
Algorithms
control allocation
dynamic weights
Fault diagnosis
Inverse method
physical constraints
Reconfiguration
Unmanned aerial vehicles
Title Control allocation technology based on fault diagnosis for the unmanned aerial vehicle system subject to physical constraints and fault reconfiguration mismatch
URI https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fasjc.2896
https://www.proquest.com/docview/2785167262
Volume 25
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