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On initial alignment of large azimuth misalignment for SINS on the static base in Krein space

  • Jin Feng
  • , Fei Yu*
  • , Pengyu Zhang
  • , Meikui Zou
  • *Corresponding author for this work
  • Harbin Engineering University
  • University of Harbin Engineering

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

Abstract

The error equation of the azimuth misalignment angle for SINS on the static base is nonlinear, and it's an urgent problem to align it when the angle is large. This paper proposes a method for the initial alignment of large azimuth misalignment based on Krein space linear estimation. The sum quadratic constraint (SQC) for nonlinear system is obtained by using Lipschitz condition of nonlinearity. Thus proposed Krein space approach is used to tackle the estimation problem for a class of nonlinear cases. Using kalman filterof krein space robust properties, we establish a nonlinear measurement error equation in Krein space, and give a recursive formula for the measurement error estimation. The initial alignment of large azimuth misalignment is simulated Finally, a numerical example is given to demonstrate the effectiveness of the proposed approach.By the Kalman filter method in Krein space which shows that the result generated by the Kalman filter method in Krein space has effective and superior

Original languageEnglish
Title of host publicationWCICA 2012 - Proceedings of the 10th World Congress on Intelligent Control and Automation
Pages1964-1968
Number of pages5
DOIs
StatePublished - 2012
Externally publishedYes
Event10th World Congress on Intelligent Control and Automation, WCICA 2012 - Beijing, China
Duration: 6 Jul 20128 Jul 2012

Publication series

NameProceedings of the World Congress on Intelligent Control and Automation (WCICA)

Conference

Conference10th World Congress on Intelligent Control and Automation, WCICA 2012
Country/TerritoryChina
CityBeijing
Period6/07/128/07/12

Keywords

  • Initial alignment
  • Krein space
  • Large azimuth angle
  • Strapdown inertial navigation system

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