The nonlinear observer-based fault diagnosis method for the high altitude airship

Jichen Hu; Ming Zhu; Tian Chen; Jichen Hu; Ming Zhu; Tian Chen

doi:10.3934/era.2025041

Electronic Research Archive

2025, Volume 33, Issue 2: 907-930. doi: 10.3934/era.2025041

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Research article

The nonlinear observer-based fault diagnosis method for the high altitude airship

1.
School of Aeronautic Science and Engineering, Beihang University, Beijing 100191, China
2.
Institute of Unmanned System, Beihang University, Beijing 100191, China

Received: 16 December 2024 Revised: 24 January 2025 Accepted: 11 February 2025 Published: 19 February 2025

We investigated an observer-based fault diagnosis method for the high altitude airship (HAA). The nonlinear kinematics and dynamics model, which considers model uncertainties and external disturbances, were obtained. The nonliear portion of the model was re-expressed to the linear parameter varying frame mathematically with an auxiliary design. Subsequently, in order to realize fault detection, isolation, and reconstruction, diverse types of robust were observers designed, respectively. Furthermore, all these mentioned observers were achieved via the linear matrix inequation framework. The effectiveness of the proposed method was verified by different fault cases in an HAA simulation system.
- the high altitude airship,
- fault diagnosis,
- nonlinear system,
- robust observer,
- linear parameter varying
Citation: Jichen Hu, Ming Zhu, Tian Chen. The nonlinear observer-based fault diagnosis method for the high altitude airship[J]. Electronic Research Archive, 2025, 33(2): 907-930. doi: 10.3934/era.2025041

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Abstract

We investigated an observer-based fault diagnosis method for the high altitude airship (HAA). The nonlinear kinematics and dynamics model, which considers model uncertainties and external disturbances, were obtained. The nonliear portion of the model was re-expressed to the linear parameter varying frame mathematically with an auxiliary design. Subsequently, in order to realize fault detection, isolation, and reconstruction, diverse types of robust were observers designed, respectively. Furthermore, all these mentioned observers were achieved via the linear matrix inequation framework. The effectiveness of the proposed method was verified by different fault cases in an HAA simulation system.

References

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