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Evaluation of a spacecraft attitude and rate estimation algorithm


Citation

Abdullah, Mohammad Nizam Filipski and Varatharajoo, Renuganth (2010) Evaluation of a spacecraft attitude and rate estimation algorithm. Aircraft Engineering and Aerospace Technology, 82 (3). pp. 184-193. ISSN 1748-8842; ESSN: 1758-4213

Abstract

Purpose: This paper aims to present the development and performance evaluation of an attitude and rate estimation algorithm using an extended Kalman filter structure based on a body‐referenced representation of the state. Design/methodology/approach: The algorithm requires only geomagnetic field data and can be used as a low‐cost alternative or as a back‐up estimator in the case of attitude sensor failures. The satellite rate is estimated as a part of the filter state and thus no gyroscope is necessary. The assessment of the algorithm performance is realized through a Monte Carlo simulation using a low‐Earth orbit, nadir‐pointing satellite. Findings: Given some attitude and rate error requirements, the range of admissible initial errors on the filter state and the effect of un‐modelled disturbance torque are determined, along with the achievable attitude and rate accuracies. Practical implications: Because the simulation set‐up is clearly stated, the results of this evaluation can be used as a benchmark for other estimation algorithms. Originality/value: The necessary assumptions and approximations used to derive the filter equations are explicitly pointed out for the benefit of the readers. Well‐defined filter initial conditions are used in an extensive series of tests resulting into a unique set of findings.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.1108/00022661011075919
Publisher: Emerald Group Publishing
Keywords: Spacecraft; Magnetic fields; Monte Carlo simulation; Estimation
Depositing User: Nabilah Mustapa
Date Deposited: 09 Apr 2019 01:15
Last Modified: 09 Apr 2019 01:15
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1108/00022661011075919
URI: http://psasir.upm.edu.my/id/eprint/14591
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