The Guidance Method of UAV with Sensor Failure Based on Multi-UAVs Cooperation

Yue Wang*, Tingting Hou, Hao Yin, Heng Su, Tao Zhang

*Corresponding author for this work

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

Abstract

In today’s complex antagonistic environment, UAVs are often subject to infrared, electromagnetic or compound interference, resulting in sensors failure. This problem has attracted much attention. In this paper, a third-party cooperative guidance method is designed, which enables the UAV with failed sensors to convert the direct detected data of other sensors into guidance instructions. A data fusion method based on fuzzy set theory is adopted to reduce the propagation error of calculation. This method does not need the prior information of measurement equipment. Finally, simulations are performed in a typical combat mode for qualitative and quantitative analysis. The results show that the guidance accuracy of cooperative guidance is not lower than that of single UAV active guidance, and the cooperative guidance method can replace the function of original sensor.

Original languageEnglish
Title of host publicationProceedings of 2021 International Conference on Autonomous Unmanned Systems, ICAUS 2021
EditorsMeiping Wu, Yifeng Niu, Mancang Gu, Jin Cheng
PublisherSpringer Science and Business Media Deutschland GmbH
Pages1157-1166
Number of pages10
ISBN (Print)9789811694912
DOIs
Publication statusPublished - 2022
EventInternational Conference on Autonomous Unmanned Systems, ICAUS 2021 - Changsha, China
Duration: 24 Sept 202126 Sept 2021

Publication series

NameLecture Notes in Electrical Engineering
Volume861 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Autonomous Unmanned Systems, ICAUS 2021
Country/TerritoryChina
CityChangsha
Period24/09/2126/09/21

Keywords

  • Cooperative guidance
  • Data fusion
  • Sensor failure

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