Thruster fault detection, isolation and reconstruction for autonomous underwater vehicle

Nanjing Hangkong Hangtian Daxue Xuebao/Journal of Nanjing University of Aeronautics and Astronautics

Volumn 43, Issue SUPPL.1, 2011, Pages 142-146

  Zhang, Mingjun ^a   Chu, Zhenzhong ^a  

^a HARBIN ENGINEERING UNIVERSITY   (China)

Author keywords

Autonomous underwater vehicle; Fault detection; Fault isolation; Fault reconstruction

Indexed keywords

ACCURACY PROBLEMS; DIAGNOSTIC SYSTEMS; EQUIVALENT OUTPUT INJECTION; FAULT DETECTION AND ISOLATION; FAULT ISOLATION; FAULT RECONSTRUCTION; RBF NEURAL NETWORK; RESIDUAL METHOD; RESIDUAL SIGNALS; SYSTEM UNCERTAINTIES; UNDERWATER VEHICLES;

AUTONOMOUS UNDERWATER VEHICLES; ELECTRIC FAULT CURRENTS; NEURAL NETWORKS; SUBMERSIBLES; UNCERTAINTY ANALYSIS; UNDERWATER EQUIPMENT; WATER CRAFT;

FAULT DETECTION;

EID: 81355164042     PISSN: 10052615     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (7)

1. 2008, 30(4): 17-21.
2. Mitchell A, Mcgookin S D. Implementation of sliding mode observer based reconfiguration in an autonomous underwater vehicle[J]. Acta Ploytechnica, 2005, 45(4): 18-24.
3. Aaron M H, Song K C, Giacomo M. Experimental validation of model-based thruster fault detection for underwater vehicles[C]//2009 IEEE International Conference on Robotics and Automation. Kobe: IEEE, 2009: 194-199.
4. 2008, 49(2): 94-100.
5. 2010: 1563-1568.
6. 2009, 35(6): 748-758.
7. Fridman L, Shtessel Y, Edwards C. Higher-order sliding-mode observer for state estimation and input reconstruction in nonlinear systems[J]. International Journal of Robust and Nonlinear Control, 2008, 18: 399-412.