The application of the fuzzy strong tracking UKF in the SINS swing base initial alignment

Shujie Wu*, Bo Wang, Zhiqiang Zhou, Hailuo Wang, Lu Song

*Corresponding author for this work

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

2 Citations (Scopus)

Abstract

In the SINS swing base initial alignment process, the filtering model is nonlinear error model because of the large azimuth misalignment angle. The alignment adaptivity can be improved efficiently with the combination of strong tracking theory and UKF. In this paper, the fuzzy logic adaptive controller is applied to confirm the tracking factor, which can enhance the adaptivity of the strong tracking UKF. Through the swing base initial alignment simulation, the algorithm is testified to be correct, and the experiment results show that it has better robustness and anti-jamming dynamic performance.

Original languageEnglish
Title of host publicationProceedings - 2014 6th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages313-318
Number of pages6
ISBN (Electronic)9781479949557
DOIs
Publication statusPublished - 7 Oct 2014
Event2014 6th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2014 - Hangzhou, China
Duration: 26 Aug 201427 Aug 2014

Publication series

NameProceedings - 2014 6th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2014
Volume1

Conference

Conference2014 6th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2014
Country/TerritoryChina
CityHangzhou
Period26/08/1427/08/14

Keywords

  • Fuzzy logical adaptive system
  • SINS
  • Strong tracking
  • Swing base
  • UKF

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