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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

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


    Contributors:
    Benchuan, Zhou (author) / Hao, Lu (author) / Jianyun, Xu (author) / Hongob, Zhang (author)


    Publication date :

    2018-08-01


    Size :

    149912 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Ultra-tightly coupled navigation system design based on SINS aiding GPS tracking loops

    Jie, Y. / Xinlong, W. | British Library Online Contents | 2010


    Observability analysis of GPS/SINS ultra-tightly coupled system

    Weidong, Z. / Jianan, C. / Long, S. et al. | British Library Online Contents | 2013



    An Adaptive Federated Filtering Algorithm for Dynamic SINS/Multi-satellite Integrated Navigation System

    Wang, C.-x. / Zhao, W. / Liu, R.-h. et al. | British Library Online Contents | 2008