Paper Info
Title
Adaptive Event-Triggered Finite-Frequency Fault Detection With Zonotopic Threshold Analysis for LPV Systems
Abstract
This article investigates a class of multiobjective optimization fault detection observer design problems for linear parameter varying (LPV) systems considering the unknown but bounded disturbance with an adaptive event-triggered scheme. In this study, the actuator faults are considered in the low-frequency domain. First, to save the communication bandwidth and improve communication efficiency, an adaptively adjusted event-triggered (AAET) mechanism is proposed. Then, in order to make the designed observer gain satisfy both fault sensitivity and disturbance robust conditions, an <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$H_{-}/L_{\infty }$ </tex-math></inline-formula> multiobjective optimization problem is proposed and solved by appropriate linear matrix inequalities. Next, the upper and lower bounds of the generated residual are calculated by the zonotope method when considering the estimation uncertainty. Fault detection can be achieved by judging whether the zero value belongs to the generated range of the residual signal. Finally, a simulation case is used to verify the effectiveness of the proposed method.
Year
DOI
Venue
2022
10.1109/TCYB.2021.3054633
IEEE Transactions on Cybernetics
Keywords
DocType
Volume
H₋/L∞ fault detection observer,adaptively adjusted event-triggered (AAET) mechanism,fault detection,linear parameter varying (LPV) systems,zonotope
Journal
52
Issue
ISSN
Citations 
10
2168-2267
0
PageRank 
References 
Authors
0.34
25
3
Name
Order
Citations
PageRank
Jing Wang12823.94
Zhenlin Wang200.34
Meng Zhou301.01