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首页> 外文期刊>International Journal of Applied Mathematics and Computer Science >FAULT IDENTIFICATION IN UNDERWATER VEHICLE THRUSTERS VIA SLIDING MODE OBSERVERS
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FAULT IDENTIFICATION IN UNDERWATER VEHICLE THRUSTERS VIA SLIDING MODE OBSERVERS

机译:通过滑动模式观察者在水下车辆推进器中的故障识别

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摘要

The paper is devoted to the problem of increasing the efficiency of underwater vehicles by using a fault diagnosis system for their thrusters which provides detection, isolation, and identification of minor faults. To address the problem, a two-stage method is proposed. At the first stage, a bank of diagnostic observers is designed to detect and isolate the emerging faults. Each observer in this bank is constructed to be sensitive to some set of faults and insensitive to others. At the second stage, additional observers working in sliding mode are synthesized in order to accurately estimate the error value in the signal obtained from the angular velocity sensor and to estimate deviations of the thruster parameters from their nominal values due to the faults. In contrast to the existing solutions, reduced-order (i.e., lower-dimensional) models of the original system are proposed as a basis to construct sliding mode observers. This approach permits reduction of the complexity of the obtained observers in comparison with the known methods, where full-order observers are constructed. The simulation results show the efficiency and high quality of all synthesized observers. In all cases considered, it was possible to detect typical faults, as well as estimate their values.
机译:本文致力于利用其推进器的故障诊断系统提高水下车辆效率的问题,该拨射系统提供了次要故障的检测,隔离和识别。为了解决问题,提出了一种两级方法。在第一阶段,一系列诊断观察员旨在检测和隔离出现的断层。本银行中的每个观察者都被构建为对某些故障和其他人不敏感的敏感。在第二阶段,合成以滑动模式工作的附加观察者以便精确地估计从角速度传感器获得的信号中的误差值,并由于故障而估计推进器参数的偏差。与现有的解决方案相比,提出了原始系统的减少(即,下维)模型作为构造滑动模式观察者的基础。与已知方法相比,这种方法允许降低所获得的观察者的复杂性,其中构建了全级观察者。仿真结果显示了所有合成观察者的效率和高质量。在所有情况下,可以检测典型的故障,以及估计它们的值。

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  • 作者单位

    Institute of Automation and Control Processes Russian Academy of Sciences-Far Eastern Branch 5 Radio Street Vladivostok 690041 Russia Institute for Marine Technology Problems Russian Academy of Sciences-Far Eastern Branch 5 Sukhanova Street Vladivostok 690091 Russia;

    Department of Automation and Control Far Eastern Federal University 8 Sukhanova Street Vladivostok 690091 Russia Institute for Marine Technology Problems Russian Academy of Sciences-Far Eastern Branch 5 Sukhanova Street Vladivostok 690091 Russia;

    Institute of Automation and Control Processes Russian Academy of Sciences-Far Eastern Branch 5 Radio Street Vladivostok 690041 Russia;

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  • 正文语种 eng
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  • 关键词

    underwater vehicles; thrusters; fault identification; sliding mode observers;

    机译:水下车辆;推进者;故障识别;滑动模式观察员;

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