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Neural Computing and Applications
Published in: Neural Computing and Applications 15/2024

07-03-2024 | Original Article

A novel k-step fault estimation and fault-tolerant control scheme in wireless power transfer systems

Authors: Xingxing Hua, Xin Dai, Shaoxin Sun, Yue Sun

Published in: Neural Computing and Applications | Issue 15/2024

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Abstract

This paper proposes a novel incipient fault estimation and fault-tolerant control approach for wireless power transfer (WPT) systems with disturbances and incipient sensor faults. Firstly, the dynamic models of the WPT system and incipient faults are established. Then, a k-step incipient fault estimation observer method is analyzed for estimating the states and incipient faults of the system. Based on it, a nonlinear dynamic output feedback fault-tolerant controller is devised to ensure the stability of the WPT system when considering incipient faults and disturbances. Further, the designed controller can monitor the system in real time without the knowledge of the system states. Besides, the stability analysis approach is rigorous, and the proof method can also apply to other similar systems. At last, the simulation example shows that the proposed fault diagnosis method is correct and effective.
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Metadata
Title
A novel k-step fault estimation and fault-tolerant control scheme in wireless power transfer systems
Authors
Xingxing Hua
Xin Dai
Shaoxin Sun
Yue Sun
Publication date
07-03-2024
Publisher
Springer London
Published in
Neural Computing and Applications / Issue 15/2024
Print ISSN: 0941-0643
Electronic ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-024-09515-2

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