Skip to main navigation Skip to search Skip to main content

Analysis and Improvement of Attitude Output Accuracy in Tri-Axis Rotational Inertial Navigation System

  • Zengjun Liu
  • , Lei Wang*
  • , Kui Li
  • , Hao Han
  • *Corresponding author for this work
  • Beihang University

Research output: Contribution to journalArticlepeer-review

Abstract

Rotating modulation technique is a mature method which has been widely used in the rotational inertial navigation system (RINS). Inertial Measurement Unit (IMU) can be driven to rotate to modulate the inertial devices' errors, in this way the position accuracy of RINS can be greatly improved. However, the outputs of attitude are easily affected for the existence of rotation mechanism. The rotation mechanism of tri-axis RINS consists of three pairs of motors and photoelectric encoders. The errors of the rotation mechanism mainly contain the installation errors of the gimbals, the installation errors of photoelectric encoder and the zero-position errors of the system; they have different effects on the outputs of the attitude. This paper researches the principle of attitude output accuracy loss in tri-axis RINS, the effects of different errors on attitude are analyzed and a self-calibration method based on recursive least squares (RLS) is proposed to calibrate these errors. Simulation and experiment results prove that the analyses is right and experiment results show that the proposed attitude compensation method can improve short-term attitude accuracy greatly, after the compensation, the attitude accuracy of the rotation direction is less than 12", and the attitude accuracy of the other direction is less than 8".

Original languageEnglish
Article number8995655
Pages (from-to)6091-6100
Number of pages10
JournalIEEE Sensors Journal
Volume20
Issue number11
DOIs
StatePublished - 1 Jun 2020

Keywords

  • Rotational inertial navigation system
  • self-calibration attitude output

Fingerprint

Dive into the research topics of 'Analysis and Improvement of Attitude Output Accuracy in Tri-Axis Rotational Inertial Navigation System'. Together they form a unique fingerprint.

Cite this