Fault Detection, Diagnosis and Fault Tolerant Output Control for a Remotely Operated Vehicle

A. Baldini, R. Felicetti, A. Freddi, S. Longhi, A. Monteriù, A. Fasano
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引用次数: 8

Abstract

An active fault tolerant control scheme for an underwater remotely operated vehicle is proposed in this work when only position and heading measurements are available. The diagnosis technique is based on a second order sliding mode observer, allowing to estimate both the unmeasured system state, namely linear and angular speeds, and the fault extent. The fault estimation is fed to a thrust allocation algorithm which achieves fault tolerant capabilities independently of the controller, attaining robustness with respect to actuator faults with any suitable control law. The overall fault diagnosis and fault tolerant scheme has been tested in simulation scenario using four different controllers and using the real world parameters of the SNAMprogetti remotely operated vehicle, thus validating the effectiveness of the proposed solution.
远程操作车辆的故障检测、诊断与容错输出控制
本文提出了一种只有位置和航向测量信息的水下遥控机器人主动容错控制方案。诊断技术是基于二阶滑模观测器,允许估计未测量的系统状态,即线性和角速度,以及故障程度。故障估计被送入推力分配算法,该算法独立于控制器获得容错能力,在任何合适的控制律下对执行器故障都具有鲁棒性。采用4种不同的控制器和snnamprogetti遥控车辆的实际参数,在仿真场景中对整体故障诊断和容错方案进行了测试,验证了所提方案的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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