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Multiple nodes transfer alignment for airborne missiles based on inertial sensor network

机译:基于惯性传感器网络的机载导弹的多个节点转移对准

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摘要

Transfer alignment is an important initialization method for airborne missiles because the alignment accuracy largely determines the performance of the missile. However, traditional alignment methods are limited by complicated and unknown flexure angle, and cannot meet the actual requirement when wing flexure deformation occurs. To address this problem, we propose a new method that uses the relative navigation parameters between the weapons and fighter to achieve transfer alignment. First, in the relative inertial navigation algorithm, the relative attitudes and positions are constantly computed in wing flexure deformation situations. Secondly, the alignment results of each weapon are processed using a data fusion algorithm to improve the overall performance. Finally, the feasibility and performance of the proposed method were evaluated under two typical types of deformation, and the simulation results demonstrated that the new transfer alignment method is practical and has high-precision.
机译:转移对准是空气传播导弹的重要初始化方法,因为对准精度在很大程度上决定了导弹的性能。然而,传统的对准方法受复杂和未知的弯曲角度的限制,并且当发生机翼弯曲变形时,不能满足实际要求。为了解决这个问题,我们提出了一种新的方法,它使用武器与战斗机之间的相对导航参数来实现转移对齐。首先,在相对惯性导航算法中,在翼弯曲变形情况下恒定地计算相对态度和位置。其次,使用数据融合算法处理每个武器的对准结果以提高整体性能。最后,在两个典型的变形中评估了所提出的方法的可行性和性能,仿真结果表明,新的转移对准方法是实用的并且具有高精度。

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