The effective fault diagnosis is the basis of system reliability and accuracy in SINS/BDS tightly-coupled integrated navigation system. The state equation and measurement equation in the launch inertial frame are modeled. A fault-tolerant Kalman filtering algorithm is proposed, the improved chi-square test method is designed to realize the detection and screening of BDS measurement fault. The simulation results illustrate that the fault-tolerant Kalman filter can effectively detect faults, the velocity error and the position error are controlled within 0.3m/s and 20m repectively.


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    Titel :

    Fault-Tolerant Filtering Algorithm for SINS/BDS Tightly-coupled Integrated Navigation System


    Beteiligte:
    Benchuan, Zhou (Autor:in) / Hao, Lu (Autor:in) / Jianyun, Xu (Autor:in) / Hongob, Zhang (Autor:in)


    Erscheinungsdatum :

    01.08.2018


    Format / Umfang :

    149912 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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