Next Article in Journal
SAR Ground Moving Target Indication Based on Relative Residue of DPCA Processing
Previous Article in Journal
A Novel Dynamic Spectrum Access Framework Based on Reinforcement Learning for Cognitive Radio Sensor Networks
Article Menu

Export Article

Open AccessArticle
Sensors 2016, 16(10), 1669; doi:10.3390/s16101669

Low-Frequency Error Extraction and Compensation for Attitude Measurements from STECE Star Tracker

1
Xichang Satellite Launch Center, Xichang 615000, China
2
School of Science, National University of Defense Technology, Changsha 410073, China
3
Beijing Institute of Tracking and Telecommunication Technology, Beijing 100094, China
*
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M. N. Passaro
Received: 11 July 2016 / Revised: 27 September 2016 / Accepted: 29 September 2016 / Published: 12 October 2016
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [2864 KB, uploaded 12 October 2016]   |  

Abstract

The low frequency errors (LFE) of star trackers are the most penalizing errors for high-accuracy satellite attitude determination. Two test star trackers- have been mounted on the Space Technology Experiment and Climate Exploration (STECE) satellite, a small satellite mission developed by China. To extract and compensate the LFE of the attitude measurements for the two test star trackers, a new approach, called Fourier analysis, combined with the Vondrak filter method (FAVF) is proposed in this paper. Firstly, the LFE of the two test star trackers’ attitude measurements are analyzed and extracted by the FAVF method. The remarkable orbital reproducibility features are found in both of the two test star trackers’ attitude measurements. Then, by using the reproducibility feature of the LFE, the two star trackers’ LFE patterns are estimated effectively. Finally, based on the actual LFE pattern results, this paper presents a new LFE compensation strategy. The validity and effectiveness of the proposed LFE compensation algorithm is demonstrated by the significant improvement in the consistency between the two test star trackers. The root mean square (RMS) of the relative Euler angle residuals are reduced from [27.95′′, 25.14′′, 82.43′′], 3σ to [16.12′′, 15.89′′, 53.27′′], 3σ. View Full-Text
Keywords: star tracker; low frequency error; attitude determination; Vondrak filter; Fourier analysis star tracker; low frequency error; attitude determination; Vondrak filter; Fourier analysis
Figures

Figure 1

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

Lai, Y.; Gu, D.; Liu, J.; Li, W.; Yi, D. Low-Frequency Error Extraction and Compensation for Attitude Measurements from STECE Star Tracker. Sensors 2016, 16, 1669.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

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