Sensing Unit for Self-identifying of Spacecraft Electrostatic Risk

Xusong Tang*, Kehang Zhong, Yao Yu, Yanbin Liu, Xinyang Zhou, Yue Feng

*Corresponding author for this work

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

Abstract

In this paper, a sensing unit with a sandwich structure is constructed to realize the identification of electrostatic discharge (ESD) risk. Based on the established electrostatic potential measurement theoretical model, the influence of the sensor element’s material structure parameters and measurement conditions on the output results was analyzed. The sensitivity of the measurement system under different conditions was determined by constructing a test system and static measurement experiments. Further, the influence of the relative position of the sensing unit and the target charged area on the measurement result is analyzed. Finally, the polytetrafluoroethylene (PTFE) sample was selected to simulate the electrostatic risk identification of the typical protective layer medium of the spacecraft, and the two-dimensional and three-dimensional distribution images of the electrostatic potential on the surface of the sample under different conditions were obtained, and the electrostatic risk position was determined.

Original languageEnglish
Title of host publicationProceedings of 2022 International Conference on Autonomous Unmanned Systems, ICAUS 2022
EditorsWenxing Fu, Mancang Gu, Yifeng Niu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages163-172
Number of pages10
ISBN (Print)9789819904785
DOIs
Publication statusPublished - 2023
EventInternational Conference on Autonomous Unmanned Systems, ICAUS 2022 - Xi'an, China
Duration: 23 Sept 202225 Sept 2022

Publication series

NameLecture Notes in Electrical Engineering
Volume1010 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Autonomous Unmanned Systems, ICAUS 2022
Country/TerritoryChina
CityXi'an
Period23/09/2225/09/22

Keywords

  • Electrostatic risk
  • Identification
  • Sensing unit
  • Surface potential

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