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Initial alignment of inertial navigation system based on fuzzy adaptive Kalman filter

  • Xinlong Wang*
  • , Gongxun Shen
  • *Corresponding author for this work
  • Beihang University

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

Abstract

A new initial of alignment of Strapdown inertial navigation system (SINS) based on the fuzzy Kalman filter is proposed. Fuzzy logic has been incorporated to tune the system error covariance of the filter in the initial alignment process. The simulation results have shown that the using of fuzzy Kalman filter for initial alignment can improve the consistency of the filter and the estimation accuracy. In the meantime the alignment time is reduced considerably.

Original languageEnglish
Title of host publicationProceedings of the Second International Symposium on Instrumentation Science and Technology
EditorsT. Jiubin, W. Xianfang, T. Jiubin, W. Xianfang
Pages3/887-3/891
StatePublished - 2002
EventProceedings of the second International Symposium on Instrumentation Science and Technology - Jinan, China
Duration: 18 Aug 200222 Aug 2002

Publication series

NameProceedings of the Second International Symposium on Instrumentation Science and Technology
Volume3

Conference

ConferenceProceedings of the second International Symposium on Instrumentation Science and Technology
Country/TerritoryChina
CityJinan
Period18/08/0222/08/02

Keywords

  • Fuzzy logic control
  • Initial alignment
  • Kalman filter
  • SINS

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