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Practical velocity-updating algorithm of strapdown inertial navigation system with ring laser gyro

  • School of Electrical Engineering and Automation, Harbin Institute of Technology
  • Harbin Engineering University

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

Abstract

Strapdown inertial navigation system (SINS) with ring laser gyro (RLG) has been used extensively in the Autonomous Underwater Vehicle (AUV) for the apparent advantages of having wide dynamic range, digital output and high accuracy. Because of the dithering motion of RLG to overcome the lock-in threshold and the vibration of AUV, there is sculling error in velocity-updating process of SINS. This paper firstly proposes a conventional sculling model based on optimum compensation algorithm. Recurrent compensation algorithm, which is called practical velocity-updating algorithm, is developed and emphasized briefly. In order to validate the performance of the proposed algorithms, simulation under classical sculling motion and RLG dithering are carried on. Simulation results show that recurrent compensation algorithm is more practical in AUV with RLG dithering condition.

Original languageEnglish
Title of host publication2007 IEEE International Conference on Control and Automation, ICCA
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1531-1535
Number of pages5
ISBN (Print)1424408180, 9781424408184
DOIs
StatePublished - 2007
Externally publishedYes
Event2007 IEEE International Conference on Control and Automation, ICCA - Guangzhou, China
Duration: 30 May 20071 Jun 2007

Publication series

Name2007 IEEE International Conference on Control and Automation, ICCA

Conference

Conference2007 IEEE International Conference on Control and Automation, ICCA
Country/TerritoryChina
CityGuangzhou
Period30/05/071/06/07

Keywords

  • Practical velocity-updating algorithm
  • Ring laser gyro
  • SINS
  • Sculling error

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