Development of Fault Detection and Identification System for Thrusters of Underwater Robots

The paper is dedicated to solving of on-line fault detection and identification for thrusters of underwater robots. To detect and estimate the possible typical faults, bank of sliding mode observers is proposed. The new approach to construct such a bank of observers, based on the reduced model of the initial systems, is suggested and developed. This approach allows reducing complexity of the observers. The effectiveness of the proposed system was confirmed by computer simulation.

[1]  Alexey Zhirabok,et al.  Sliding Mode Observers for Fault Detection in Linear Dynamic Systems , 2018 .

[2]  Robert Bogue,et al.  Underwater robots: a review of technologies and applications , 2015, Ind. Robot.

[3]  Alexey Zhirabok,et al.  The development of system of accommodation to faults of navigation sensors of underwater vehicles with resistance to disturbance , 2014, 2014 14th International Conference on Control, Automation and Systems (ICCAS 2014).

[4]  Danna Zhou,et al.  d. , 1934, Microbial pathogenesis.

[5]  B. Bett,et al.  Autonomous Underwater Vehicles (AUVs): Their past, present and future contributions to the advancement of marine geoscience , 2014 .

[6]  Alexey Zhirabok,et al.  The New Approach for Synthesis of Diagnostic System for Navigation Sensors of Underwater Vehicles , 2014 .

[7]  Bin Jiang,et al.  PROGRESSIVE ACCOMMODATION OF AIRCRAFT ACTUATOR FAULTS , 2006, IFAC Proceedings Volumes.

[8]  Alexey Zhirabok,et al.  Synthesis Method of Fault Tolerant Control System for Manipulators , 2013 .

[9]  Zhan Li,et al.  Fault-tolerant control for descriptor stochastic systems with extended sliding mode observer approach , 2017 .

[10]  Christopher Edwards,et al.  Nonlinear robust fault reconstruction and estimation using a sliding mode observer , 2007, Autom..

[12]  Chee Pin Tan,et al.  Sliding mode observers for fault detection and isolation , 2002 .

[13]  Sauro Longhi,et al.  Actuator Fault Detection System for a Remotely Operated Vehicle , 2013 .

[14]  Junku Yuh,et al.  Underwater Vehicle Manipulators , 2016 .

[15]  Junku Yuh,et al.  Applications of marine robotic vehicles , 2011, Intell. Serv. Robotics.

[16]  Alexey Zhirabok,et al.  Fault diagnosis in linear systems via sliding mode observers , 2019, Int. J. Control.

[17]  Paul M. Frank,et al.  Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy: A survey and some new results , 1990, Autom..

[18]  Michel Kinnaert,et al.  Diagnosis and Fault-Tolerant Control , 2004, IEEE Transactions on Automatic Control.