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- Title
Fuzzy Fault Detection Observer Design for Unmanned Marine Vehicles Based on Membership-Function-Dependent H ∞ / H _ Performance.
- Authors
Wu, Yue; Wang, Yang; Zhang, Kai; Zhang, Shanfeng; Wu, Ying
- Abstract
This paper studies the design problem of fault detection (FD) observer for unmanned marine vehicles (UMVs) based on the T-S fuzzy model. Firstly, T-S fuzzy systems are used to approximate the nonlinear dynamics in UMVs. Secondly, to improve the FD performance of UMVs, a new H ∞ / H _ performance index, which depends on the membership functions, is defined. Then, based on the membership-function-dependent H ∞ / H _ performance index, a new fuzzy FD observer strategy, where the fuzzy submodels are not all required to be with the same H _ performance index, is developed to detect the sensor fault in UMVs; the corresponding synthesis conditions of the FD observer are derived based on the Lyapunov theory. Different from the conventional FD strategies, in the proposed membership-function-dependent FD method, the fuzzy submodels—which the system always works on—can have a larger H _ performance index, such that the performance of the FD can be improved. In the end, an example is given to show the effectiveness of the presented method.
- Subjects
FUZZY systems; AUTONOMOUS vehicles; DETECTORS
- Publication
Journal of Marine Science & Engineering, 2024, Vol 12, Issue 8, p1288
- ISSN
2077-1312
- Publication type
Article
- DOI
10.3390/jmse12081288