Title
Predictive Smooth Variable Structure Filter for Attitude Synchronization Estimation During Satellite Formation Flying.
Abstract
In this paper, a novel predictive smooth variable structure filter (PSVSF) is presented for attitude synchronization during satellite formation flying (SFF). The strategy is proposed based on variable structure control concept and applies to any nonlinear system with modeling errors. Because the modeling errors in the PSVSF are not restricted to Gaussian noise only, the technique can deal with various kinds of uncertainties, parameter variations, or noises. It also has low computational burden; therefore, it is more general than other nonlinear estimation methods. Sufficient conditions to analyze the stability and characteristics of the PSVSF are presented. Simulations are performed to demonstrate the accuracy, robustness, and stability of the proposed PSVSF for the attitude synchronization estimation of the SFF system.
Year
DOI
Venue
2017
10.1109/TAES.2017.2671118
IEEE Trans. Aerospace and Electronic Systems
Keywords
Field
DocType
Satellites,Estimation,Synchronization,Aerodynamics,Mathematical model,Nonlinear systems,Computational modeling
Synchronization,Satellite,Nonlinear system,Control theory,Robustness (computer science),Variable structure control,Gaussian noise,Mathematics,Aerodynamics
Journal
Volume
Issue
ISSN
53
3
0018-9251
Citations 
PageRank 
References 
2
0.37
9
Authors
5
Name
Order
Citations
PageRank
Lu Cao160.76
Yongqiang Chen221.05
Zhidong Zhang320.37
Heng-Nian Li420.37
Arun K. Misra513813.16