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A Novel Deep Integrated Mode of SNS/Star Sensor Integrated Navigation System for Space Crafts

机译:SNS /星传感器集成导航系统的新型深度集成模式,用于太空工艺品

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Star image recognition of star sensor is widely used in integrated navigation system of space crafts. In practical engineering, the two widely applied navigation modes which combine star senor and strap down inertial navigation system are simple integration and shallow integration. Compared with these two modes, deep integration mode can not only enhance the accuracy of strap-down inertial navigation system via star recognition, but it can also adopt strap-down inertial navigation system to improve the attitude accuracy output by the star sensor. However, deep integration mode is relatively more complicated and difficult to realize. An approach to realizing switchable deep integration mode is proposed. The measurement difference between SINS and star sensor is transformed and the result is used to renew the correction matrix, which is input to the star sensor to improve its output accuracy. A detailed engineering case is designed to validate the effectiveness of the approach. Simulation in the engineering case indicates that the proposed deep integration provides less estimated position, speed and attitude error and faster convergence speed than simple and shallow integration.
机译:星形传感器的星形图像识别广泛用于空间工艺的集成导航系统。在实际工程中,两个广泛应用的导航模式结合了明星院和表带下降惯性导航系统是简单的集成和浅集成。与这两种模式相比,深度集成模式不仅可以通过明星识别提高表带惯性导航系统的准确性,但也可以采用带下惯性导航系统来提高星传感器输出的姿态精度。然而,深度一体化模式相对更复杂,难以实现。提出了一种实现可切换深度集成模式的方法。转换SINS和星传感器之间的测量差异,结果用于更新校正矩阵,该校正矩阵将输入到星形传感器以提高其输出精度。详细的工程案例旨在验证方法的有效性。工程案例中的仿真表明,所提出的深度集成提供较少的估计位置,速度和姿态误差,而不是简单浅的集成速度更快。

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