Fault Diagnosis Algorithm Based on Adjustable Nonlinear PI State Observer and Its Application in UAV Fault Diagnosis

Aiming at the problem of fault diagnosis in continuous time systems, a kind of fault diagnosis algorithm based on adaptive nonlinear proportional integral (PI) observer, which can realize the effective fault identification, is studied in this paper. Firstly, the stability and stability conditions of...

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Bibliographic Details
Published in:Algorithms 2021-04, Vol.14 (4), p.119
Main Authors: Miao, Qing, Wei, Juhui, Wang, Jiongqi, Chen, Yuyun
Format: Article
Language:English
Subjects:
Accuracy
adaptive algorithm
Adaptive algorithms
Continuous time systems
Control algorithms
Fault diagnosis
Noise
nonlinear observer
Parameter estimation
Proportional integral
Scheduling
Stability
State observers
UAV
Unmanned aerial vehicles
Upper bounds
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Summary:Aiming at the problem of fault diagnosis in continuous time systems, a kind of fault diagnosis algorithm based on adaptive nonlinear proportional integral (PI) observer, which can realize the effective fault identification, is studied in this paper. Firstly, the stability and stability conditions of fault diagnosis method based on the PI observer are analyzed, and the upper bound of the fault estimation error is given. Secondly, the fault diagnosis algorithm based on adjustable nonlinear PI observer is designed and constructed, it is analyzed and we proved that the upper bound of fault estimation under this algorithm is better than that of the traditional method. Finally, the L-1011 unmanned aerial vehicle (UAV) is taken as the experimental object for numerical simulation, and the fault diagnosis method based on adaptive observer factor achieves faster response speed and more accurate fault identification results.
ISSN:1999-4893
1999-4893
DOI:10.3390/a14040119