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鱼雷形自主水下航行器上执行器的有源故障定位

Active Fault Localization of Actuators on Torpedo-Shaped Autonomous Underwater Vehicles.

作者信息

Liu Fuqiang, Long Yan, Luo Jun, Pu Huayan, Duan Chaoqun, Zhong Songyi

机构信息

State Key Laboratory of Mechanical Transmission, College of Mechanical Engineering, Chongqing University, Chongqing 400044, China.

School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China.

出版信息

Sensors (Basel). 2021 Jan 11;21(2):476. doi: 10.3390/s21020476.

Abstract

To ensure the mission implementation of Autonomous Underwater Vehicles (AUVs), faults occurring on actuators should be detected and located promptly; therefore, reliable control strategies and inputs can be effectively provided. In this paper, faults occurring on the propulsion and attitude control systems of a torpedo-shaped AUV are analyzed and located while fault features may induce confusions for conventional fault localization (FL). Selective features of defined fault parameters are assorted as necessary conditions against different faulty actuators and synthesized in a fault tree subsequently to state the sufficiency towards possible abnormal parts. By matching fault features with those of estimated fault parameters, suspected faulty sections are located. Thereafter, active FL strategies that analyze the related fault parameters after executing purposive actuator control are proposed to provide precise fault location. Moreover, the generality of the proposed methods is analyzed to support extensive implementations. Simulations based on finite element analysis against a torpedo-shaped AUV with actuator faults are carried out to illustrate the effectiveness of the proposed methods.

摘要

为确保自主水下航行器(AUV)任务的执行,应及时检测并定位执行器上出现的故障,从而能够有效提供可靠的控制策略和输入。本文对鱼雷形AUV的推进和姿态控制系统中出现的故障进行了分析和定位,而故障特征可能会给传统故障定位(FL)带来混淆。针对不同的故障执行器,将定义的故障参数的选择性特征作为必要条件进行分类,随后在故障树中进行综合,以说明对可能出现异常部件的充分性。通过将故障特征与估计的故障参数的特征进行匹配,定位可疑的故障部分。此后,提出了主动FL策略,即在执行有目的的执行器控制后分析相关故障参数,以提供精确的故障定位。此外,对所提方法的通用性进行了分析,以支持广泛的应用。基于有限元分析对具有执行器故障的鱼雷形AUV进行了仿真,以说明所提方法的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40e5/7827271/f58081a1d2b6/sensors-21-00476-g001.jpg

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