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A fault injection platform for multirotor UAV PHM

  • Harbin University of Science and Technology
  • School of Electronics and Information Engineering, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Unmanned Aerial Vehicle (UAV) is widely used in daily life, commercial and military applications, because it is flexible and cheap. But the news of UAV accidents calls people to focus on Prognostics and Health Management (PHM) for UAV, which can predict and detect faults during the UAV 's flight through the telemetry data. PHM can also help UAV adjust itself to avoid crashes. However, the existing PHM models on UAV have some common problems. The most outstanding one is that they are all suffering from lacking fault data. The amount of fault data is difficult to support PHM modeling. Therefore, establishing a fault injection platform will help in generating fault data and improving the performance of PHM methods. In this work, we propose a platform of fault injection based on ArduPilot. It can simulate different kinds of sensor and actuator faults which may happen on UAV during flight. Through the ground station, we can obtain the telemetry data with faults which can set up a database for PHM modeling. The experiment results show that this method has a good performance for fault injection.

Original languageEnglish
Title of host publication2019 14th IEEE International Conference on Electronic Measurement and Instruments, ICEMI 2019
EditorsJuan Wu, Jiali Yin, Zhang Qi
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages954-959
Number of pages6
ISBN (Electronic)9781728105093
DOIs
StatePublished - Nov 2019
Externally publishedYes
Event14th IEEE International Conference on Electronic Measurement and Instruments, ICEMI 2019 - Changsha, China
Duration: 1 Nov 20193 Nov 2019

Publication series

Name2019 14th IEEE International Conference on Electronic Measurement and Instruments, ICEMI 2019

Conference

Conference14th IEEE International Conference on Electronic Measurement and Instruments, ICEMI 2019
Country/TerritoryChina
CityChangsha
Period1/11/193/11/19

Keywords

  • Prognostics and Health Management (PHM)
  • Unmanned Aerial Vehicle (UAV)
  • fault injection

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