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

Vladimir Filaretov, Alexander Zuev, Alexey Zhirabok

Year
2019
Citations
4

Abstract

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.

Keywords

UnderwaterFault detection and isolationFault (geology)Identification (biology)Construct (python library)Computer scienceRobotMode (computer interface)Control theory (sociology)Line (geometry)

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