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Failure Mode and Effects Analysis for large scale multirotor Unmanned Aerial Vehicle Controlled by Moving Mass System

机译:移动质量系统控制大型多电流无人空中车辆的故障模式及效果分析

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In this paper Failure Mode and Effects Analysis (FMEA) for a large scale multirotor systems (with moving mass) based on novel system for aircraft control will be presented. This system uses four petrol engines for lift and a moving mass system to control the vehicle. Analysis presented in this paper assesses the vulnerabilities of the system during the vehicle operation. The main objective of the analysis is to understand the cause and severity of the failures that can occur to the petrol engines and the moving mass system. Our unmanned aerial vehicle system is used for environmental monitoring and maritime security developed under MORUS project funded under NATO SPS Program. The ultimate goal of our research and design is to make an unmanned aerial vehicle that can lift larger amount of load (approximately 40kg). During its operation time the unmanned aerial vehicle might fail to complete a certain assignment so failure mode and effects analysis is needed to account for such problems and to find appropriate activities to reduce the overall risk the system faces during the mission.
机译:在本文的故障模式和效果分析(FMEA),基于用于飞机控制的新型系统的大型多电流系统(带移动质量)。该系统使用四个汽油发动机用于提升和移动质量系统以控制车辆。本文提出的分析评估了在车辆操作期间系统的脆弱性。分析的主要目的是了解汽油发动机和移动质量系统可能发生的故障的原因和严重程度。我们无人驾驶的空中车辆系统用于根据北约SPS计划资助的Morus项目开发的环境监测和海事安全。我们的研究和设计的最终目标是制作一个无人驾驶的空中车辆,可以提升更大量的负载(约40kg)。在其运行时间期间,无人驾驶飞行器可能无法完成某个任务,因此需要进行故障模式和效果分析来解释此类问题,并找到适当的活动,以减少在使命期间系统面临的整体风险。

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