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Adaptive Predictive Variable Structure Filter for Attitude Synchronization Estimation

Published online by Cambridge University Press:  27 May 2016

Lu Cao*
(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
(The State Key Laboratory of Astronautic Dynamics, China Xi'an Satellite Control Center, Xi'an 710043, China)
Lei Han
(China Xi'an Satellite Control Center, Xi'an 710043, China)
Hengnian Li
(The State Key Laboratory of Astronautic Dynamics, China Xi'an Satellite Control Center, Xi'an 710043, China)


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.

Research Article
Copyright © The Royal Institute of Navigation 2016 

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