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Attitude updating algorithm of SINS and composite application

机译:SINS和复合应用态度更新算法

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The real-time attitude computation is key to the accuracy of Strap-down Inertial Navigation System (SINS). This paper discusses the attitude updating quaternion algorithm of SINS and the quaternion recursive algorithm based on the third-order Taylor expansion. In order to reduce the influence of the non-commutative error caused by quaternion algorithm in high dynamic circumstances, we present a rotation vector algorithm that compensates for the deviation of the nonreciprocal angular velocity vector, whose pros and cons of the algorithms are analyzed. The rotation vector method can effectively reduce the non-commutative error at certain sampling frequencies. Moreover, a maneuverability criterion is designed for determining the dynamic level, Based on which the composite pattern containing two algorithms are proposed for flying submunition missiles.
机译:实时姿态计算是带式惯性导航系统(SINS)的准确性的关键。本文讨论了基于三阶泰勒膨胀的SINS态度和四元额递归算法的态度更新。为了降低高动态环境中的四元算法引起的非换向误差的影响,我们呈现了一种旋转向量算法,其补偿了非探测角速度向量的偏差,其分析了算法的优点和缺点。旋转矢量方法可以在某些采样频率下有效地降低非换向误差。此外,可以设计用于确定动态水平的机动性标准,基于该动态水平,提出了用于飞行射击导弹的两种算法的复合图案。

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