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Adaptive Predictive Variable Structure Filter for Attitude Synchronization Estimation

Published online by Cambridge University Press:  27 May 2016

Lu Cao ,
Junqiang Li ,
Lei Han  and
Hengnian Li
Lu Cao*
Affiliation:
(The State Key Laboratory of Astronautic Dynamics, China Xi'an Satellite Control Center, Xi'an 710043, China) (China Xi'an Satellite Control Center, Xi'an 710043, China)
Junqiang Li
Affiliation:
(The State Key Laboratory of Astronautic Dynamics, China Xi'an Satellite Control Center, Xi'an 710043, China)
Lei Han
Affiliation:
(China Xi'an Satellite Control Center, Xi'an 710043, China)
Hengnian Li
Affiliation:
(The State Key Laboratory of Astronautic Dynamics, China Xi'an Satellite Control Center, Xi'an 710043, China)
*
(E-mail: caolu_space2015@163.com)
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Abstract

In this paper, a novel Predictive Variable Structure Filter (PVSF) and its adaptive deformation (APVSF) are presented for attitude synchronisation during Satellite Formation Flying (SFF). The PVSF is proposed based on the variable structure control concept and applied to any nonlinear system with model errors. The model errors in the PVSF need not satisfy the assumption of Gaussian white noise; therefore, it has advantages in dealing with various kinds of uncertainties, parameter variations or noises. Then, the APVSF is also presented to adjust the smoothing boundary layer of PVSF by minimising the Mean-Square Error (MSE). Simulations are performed to demonstrate the accuracy, robustness, and stability of the proposed methodologies for the attitude synchronisation estimation of the SFF system.

Keywords

Predictive variable structure filterAdaptive filterAttitude determinationSatellite formation
Type
Research Article
Information
The Journal of Navigation , Volume 70 , Issue 1 , January 2017 , pp. 205 - 223
Copyright
Copyright © The Royal Institute of Navigation 2016 

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