Fault detection for autonomous multirotors using a redundant flight control architecture

M. Lieret, Jonas Fertsch, J. Franke
{"title":"Fault detection for autonomous multirotors using a redundant flight control architecture","authors":"M. Lieret, Jonas Fertsch, J. Franke","doi":"10.1109/CASE48305.2020.9216786","DOIUrl":null,"url":null,"abstract":"Within the last years unmanned aerial vehicles (UAV) have found their way into several industrial applications and are currently considered to be a highly efficient solution to deliver parcels to end costumers. However, a power shutdown or emergency stop of the propulsion system in the case of a failure is compared to stationary or mobile ground robots no suitable reaction as it leads to a fall of the UAV and hence creates a safety hazard for persons in the surroundings. Thus it must be ensured that the UAV is not only capable of detecting occurring failures but also of remaining airworthy and navigable at any time.Within this work we therefore present a fault detection approach for autonomous multirotor systems using a redundant flight control architecture. The presented fault detection methodology is capable of analysing flight control units (FCU) based on different hard- and software and does not require a precise time synchronization. To deal with different and unsynchronized FCUs we design and implement an inexact voter to continuously compare states and functionalities of the individual FCUs. In the case of a failure or break down of the active FCU the developed architecture has the ability of switching to one of the fallback systems.The approach and algorithms used for failure detection are presented in detail and afterwards the overall system is evaluated using a hexarotor in different flight states and conditions.","PeriodicalId":212181,"journal":{"name":"2020 IEEE 16th International Conference on Automation Science and Engineering (CASE)","volume":"T156 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 16th International Conference on Automation Science and Engineering (CASE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CASE48305.2020.9216786","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Within the last years unmanned aerial vehicles (UAV) have found their way into several industrial applications and are currently considered to be a highly efficient solution to deliver parcels to end costumers. However, a power shutdown or emergency stop of the propulsion system in the case of a failure is compared to stationary or mobile ground robots no suitable reaction as it leads to a fall of the UAV and hence creates a safety hazard for persons in the surroundings. Thus it must be ensured that the UAV is not only capable of detecting occurring failures but also of remaining airworthy and navigable at any time.Within this work we therefore present a fault detection approach for autonomous multirotor systems using a redundant flight control architecture. The presented fault detection methodology is capable of analysing flight control units (FCU) based on different hard- and software and does not require a precise time synchronization. To deal with different and unsynchronized FCUs we design and implement an inexact voter to continuously compare states and functionalities of the individual FCUs. In the case of a failure or break down of the active FCU the developed architecture has the ability of switching to one of the fallback systems.The approach and algorithms used for failure detection are presented in detail and afterwards the overall system is evaluated using a hexarotor in different flight states and conditions.
基于冗余飞行控制体系的自主多旋翼故障检测
在过去的几年里,无人驾驶飞行器(UAV)已经进入了几个工业应用领域,目前被认为是向最终客户交付包裹的高效解决方案。然而,在故障的情况下,电源关闭或推进系统的紧急停止与固定或移动地面机器人没有适当的反应相比,因为它导致无人机坠落,因此对周围的人造成安全危害。因此,必须确保无人机不仅能够检测发生的故障,而且在任何时候都保持适航和可航。因此,在这项工作中,我们提出了一种使用冗余飞行控制体系结构的自主多旋翼系统故障检测方法。所提出的故障检测方法能够分析基于不同硬件和软件的飞控单元(FCU),且不需要精确的时间同步。为了处理不同和不同步的fcu,我们设计并实现了一个不精确的投票器来连续比较单个fcu的状态和功能。在主动FCU发生故障或崩溃的情况下,开发的架构具有切换到备用系统之一的能力。详细介绍了故障检测的方法和算法,然后使用六旋翼在不同的飞行状态和条件下对整个系统进行了评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信