The paper presents a new method of in-flight alignment (IFA) for a strapdown inertial navigation system (SDINS) aided by a super short baseline (SSBL) system under a large initial heading error. To handle the large heading error, a new attitude error model is introduced in which attitude errors are divided into heading and levelling errors using a newly defined horizontal frame. Some navigation error dynamic models are derived from the attitude error model for indirect feedback filtering of the IFA system. A Kalman filter with position measurements is designed to estimate navigation errors as an indirect feedback filter. Simulation results show that the newly developed model works effectively for coarse alignment of a large heading error. The proposed IFA method very quickly decreases the heading error from more than 40 degrees to about 5 degrees.


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    Title :

    Performance improvement of in-flight alignment for autonomous vehicle under large initial heading error


    Contributors:
    Hong, H.S. (author) / Lee, J.G. (author) / Park, C.G. (author)

    Published in:

    Publication date :

    2004


    Size :

    6 Seiten, 12 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




    Performance improvement of in-flight alignment for autonomous vehicle under large initial heading error

    Hong, H.S. / Lee, J.G. / Park, C.G. | IET Digital Library Archive | 2004


    In-Flight Alignment of SDINS under Large Initial Heading Error

    Hong, H. S. / Lee, J. G. / Park, C. G. | British Library Online Contents | 2002


    In-flight alignment of SDINS under large initial heading error

    Hong, Hyun / Lee, Jang / Park, Ghan | AIAA | 2001


    Modeling and semi-physical simulation of in-flight alignment for MIMU under large heading error

    Juanjuan, C. / Jiancheng, F. / Wei, S. | British Library Online Contents | 2008