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Research on GFSINS/Star-sensor Integrated Attitude Estimation Algorithm Based on UKF

机译:基于UKF的GFSINS /星敏感器综合姿态估计算法研究

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In this research, an effective nine-accelerometerconfiguration is designed to form a gyroscope free strapdowninertial navigation system (GFSINS), and the absolute valuemethod is adopted to calculate angular velocity. This paperproposes an UKF attitude estimation algorithm for the starsensor aided GFSINS integrated navigation system. The experimental results show that, UKF algorithm avoids the higherorder truncation error in EKF, and improves the steady-stateprecision and convergence speed to some extent. Especially incomplex models, UKF is free from computational complexity ofthe Jacobi matrix, thus highlighting the rapidity and improvingthe computation efficiency of the system. Consequently, thisnavigation methodology could be competent for some highprecision and long-endurance navigation tasks.
机译:在这项研究中,设计了一种有效的九加速度计配置,以形成无陀螺仪的捷联惯性导航系统(GFSINS),并采用绝对值方法来计算角速度。针对星传感器辅助的GFSINS组合导航系统,提出了UKF姿态估计算法。实验结果表明,UKF算法避免了EKF中的高阶截断误差,并在一定程度上提高了稳态精度和收敛速度。 UKF尤其是在复杂模型中,没有雅可比矩阵的计算复杂性,从而突出了系统的快速性并提高了计算效率。因此,这种导航方法可以胜任某些高精度和长寿命的导航任务。

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