Abstract This paper investigates the tracking accuracy of an optical telescope system used for satellite tracking and laser ranging applications. The investigated system uses a high precision motion controller and a pointing model based on spherical harmonics to achieve high accuracy. To overcome the limitations due to local pointing model inaccuracies and dynamic effects during tracking, an iterative trajectory learning algorithm is proposed. The implementation, as well as the stability analysis of the proposed concept is presented. Satellite tracking experiments are conducted to verify the accuracy of the proposed system. Utilizing the proposed iterative trajectory learning concept, the tracking error is reduced by a factor of 11 and is ultimately limited by the uncertainty of the orbit prediction.

    Highlights Local pointing model inaccuracies and dynamic effects degrade accuracy. Iterative trajectory learning improves accuracy of satellite tracking by factor 11. Accuracy ultimately only limited by the uncertainty of the orbit prediction. Design and stability analysis can be performed using well known concepts.


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    Title :

    Iterative trajectory learning for highly accurate optical satellite tracking systems


    Contributors:

    Published in:

    Acta Astronautica ; 164 ; 121-129


    Publication date :

    2019-07-09


    Size :

    9 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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