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Type: Journal article
Title: Fault detection for vehicle active suspension systems in finite-frequency domain
Author: Zhu, X.
Xia, Y.
Chai, S.
Shi, P.
Citation: IET Control Theory and Applications, 2019; 13(3):387-394
Publisher: Institution of Engineering and Technology
Issue Date: 2019
ISSN: 1751-8644
Statement of
Xiaodan Zhu, Yuanqing Xia, Senchun Chai, Peng Shi
Abstract: This study solves a new fault detection strategy for vehicle active suspension systems in finite-frequency domain. Three fault detection filters are constructed in different finite frequency domains, which ensure that the error between residuals and faults is minimum. The H∞ filter problem is used to figure out the design problem of fault detection. The conditions of residual systems meeting H∞ performance are obtained by considering generalised Kalman-Yakubovich-Popov lemma and stability theory. The problem of filter design is solved by an optimisation algorithm. Illustrative examples are given to show the proposed design method's effectiveness and potential.
Rights: © The Institution of Engineering and Technology 2018
RMID: 0030114735
DOI: 10.1049/iet-cta.2018.5922
Appears in Collections:Mechanical Engineering publications

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