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.


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    Title :

    Predictive Smooth Variable Structure Filter for Attitude Synchronization Estimation During Satellite Formation Flying


    Contributors:
    Lu Cao (author) / Yongqiang Chen (author) / Zhidong Zhang (author) / Hengnian Li (author) / Misra, Arun K. (author)


    Publication date :

    2017-06-01


    Size :

    2761442 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English