Fault Detection and Isolation for Redundant Inertial Navigation System Based on Asymmetric Precision

Xuan Xiao, Jianrui Lu

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

4 Citations (Scopus)

Abstract

For the redundant inertial navigation system (RINS) equipped by MEMS-based and FOG-based inertial navigation system (INS), a system architecture and fusion method will be introduced based on sequential Sage-Husa filter in this paper. The sequential probability ratio test (SPRT) utilizes piecewise method is employed for the fault detection program, the velocity numerical differentiation of each set of INS is considered in the fault diagnosis scheme. Simulations are conducted by adding soft and hard failures into the gyro of three axes of each set of INS with different values separately. Results show that there is a 2.42% improvement on positioning accuracy, the fault detection, diagnosis and isolation algorithm in this paper can detect failures correctly without false alarm under a short delay.

Original languageEnglish
Title of host publication2021 4th International Conference on Robotics, Control and Automation Engineering, RCAE 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages344-350
Number of pages7
ISBN (Electronic)9781665427302
DOIs
Publication statusPublished - 2021
Event4th International Conference on Robotics, Control and Automation Engineering, RCAE 2021 - Wuhan, China
Duration: 4 Nov 20216 Nov 2021

Publication series

Name2021 4th International Conference on Robotics, Control and Automation Engineering, RCAE 2021

Conference

Conference4th International Conference on Robotics, Control and Automation Engineering, RCAE 2021
Country/TerritoryChina
CityWuhan
Period4/11/216/11/21

Keywords

  • Sage-Husa filter
  • numerical differentiation
  • piecewise SPRT
  • redundant INS

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