A SINS nonlinear error model reflecting better characteristics of SINS errors

Gongmin Yan, Weisheng Yan, Demin Xu

Research output: Contribution to journalArticlepeer-review

38 Scopus citations

Abstract

This paper starts with reviewing past research, leading to proposing a SINS (strapdown inertial navigation system) nonlinear error model that is better than previous ones in that it reflects, we believe, better the characteristics of SINS errors. The core of section 1 of the full paper consists of: (1) the angle of misalignment between the ideal navigation reference frame and the calculated one is described as the Euler platform error angle (EPEA); (2) the SINS nonlinear error model is deduced in some detail using the EPEA. Subsection 2.3 deduces the error model of the navigation algorithm named "damping SINS" by us with the objective of reducing calculation burden. Subsection 2.4 presents Figs.2 and 3 giving the simulation results, which show preliminarily that the SINS nonlinear error model does reflect the SINS error characteristics better.

Original languageEnglish
Pages (from-to)511-516
Number of pages6
JournalXibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
Volume27
Issue number4
StatePublished - Aug 2009

Keywords

  • Computer simulation
  • Euler platform error angle (EPEA)
  • Inertial navigation systems
  • Nonlinear error model
  • SINS (strapdown inertial navigation system)

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