Next Article in Journal
Building Roof Segmentation from Aerial Images Using a Lineand Region-Based Watershed Segmentation Technique
Next Article in Special Issue
Adaptive Data Filtering of Inertial Sensors with Variable Bandwidth
Previous Article in Journal
Optical Microsystem for Analysis of Diffuse Reflectance and Fluorescence Signals Applied to Early Gastrointestinal Cancer Detection
Previous Article in Special Issue
Analysis of Frequency Response and Scale-Factor of Tuning Fork Micro-Gyroscope Operating at Atmospheric Pressure
Article Menu

Export Article

Open AccessArticle
Sensors 2015, 15(2), 3154-3171; doi:10.3390/s150203154

Research on Initial Alignment and Self-Calibration of Rotary Strapdown Inertial Navigation Systems

1,2
,
1,3,* and 3
1
College of Automation, Harbin Engineering University, Harbin 150001, China
2
School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
3
Department of Earth and Space and Engineering, York University, Toronto, ON M3J 1P3, Canada
*
Author to whom correspondence should be addressed.
Received: 7 December 2014 / Revised: 19 January 2015 / Accepted: 20 January 2015 / Published: 30 January 2015
(This article belongs to the Special Issue Inertial Sensors and Systems)
View Full-Text   |   Download PDF [1211 KB, uploaded 3 February 2015]   |  

Abstract

The errors of inertial sensors affect the navigation accuracy of the strapdown inertial navigation system (SINS) and are accumulated over time in nature. In order to continuously maintain the high navigation accuracy of vehicles for a long time period, an initial alignment and self-calibration is necessary after the SINS starts. Additionally, the observability analysis is one of the key techniques during the initial alignment and self-calibration process. For marine systems, the observability of inertial sensor errors is extremely low, as their motion states are always slow. Therefore, studying the rotating SINS is urgent. Since traditional analysis methods have their limitations, the global observation analysis method was used in this paper. On the basis of this method, the relationship between the observability and the kinestate of the rotating SINS has been established. After the discussion about the factors that affect the observability in detail, the design principle of the initial alignment and self-calibration rotating scheme, which is appropriate for marine systems, id proposed. With the proposed principle, a novel initial alignment and self-calibration method, named the eight-position rotating scheme, is designed. Simulations and experiments are carried out to verify its performance. The results have shown that compared with other rotating schemes and the static state, the estimated accuracy of the eight-position scheme rotating about axes x and y was the best, and the position error was significantly reduced with this new rotating scheme. The feasibility and effectiveness of the proposed design principle and the rotating scheme were verified. View Full-Text
Keywords: strapdown inertial navigation system (SINS); rotating SINS; dual-axis rotary; initial alignment and self-calibration; observability strapdown inertial navigation system (SINS); rotating SINS; dual-axis rotary; initial alignment and self-calibration; observability
Figures

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Gao, W.; Zhang, Y.; Wang, J. Research on Initial Alignment and Self-Calibration of Rotary Strapdown Inertial Navigation Systems. Sensors 2015, 15, 3154-3171.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top