Aiming at the problem of poor transfer alignment accuracy between missiles with a high length-to-diameter ratio as a carrier missile and the internally carried guided submunition, this study proposes a transfer alignment method based on the distributed inertial network of the guided submunition. Initially, considering the influence of the deflection deformation of the carrier missile body and the dynamic nonlinear deformation of the lever arm on the transfer alignment accuracy, the corresponding error model is established and compensated for the sub-inertial guide velocity to improve the accuracy of the observed quantities. Additionally, in response to the high failure rate of low-cost inertial guidance systems equipped with guided submunition, we used an inertial network data fusion architecture based on the isolation of device failure monitoring, which effectively isolates the faulty data through the fusion of inertial measurements at the sensor level and optimal fusion of filtering to further improve the reliability of transmission alignment. The effectiveness of the method proposed in this paper is verified through a large number of simulation experiments. Compared with the traditional transfer alignment method between a single master inertial guide and a sub inertial guide, the method in the paper has obvious improvement in the transfer alignment accuracy. In addition, this method is not affected by the failure of inertial devices in the distributed inertial network, and can continuously maintain a high transfer alignment accuracy. For this kind of missile-borne distributed inertial network with a sub-node sets layer, it is found after comparison that: the transmission alignment error is basically the same for different slave nodes in the same sub-node sets; between different sub-node sets, the closer to the master inertial guide the transmission alignment error is smaller. This study provides a new solution idea and certain reference value for solving the problem of poor transfer alignment accuracy between missiles with a high length-to-diameter ratio as a carrier missile and the internally carried guided submunition.

中文翻译：

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基于分布式惯性网络的制导子弹药转移对准方法研究


针对运载导弹等高长径比导弹与内载制导子弹药传递对准精度较差的问题，提出一种基于分布式惯性网络制导子弹药传递对准方法。首先，考虑运载弹体偏转变形和杆臂动态非线性变形对传递对准精度的影响，建立相应的误差模型，并对亚惯性制导速度进行补偿，以提高传递对准精度。观察到的数量。另外，针对搭载制导子弹药的低成本惯性制导系统故障率较高的问题，我们采用了基于设备故障监测隔离的惯性网络数据融合架构，通过惯性测量的融合，有效隔离了故障数据。在传感器层面和滤波的优化融合，进一步提高传输对准的可靠性。通过大量的仿真实验验证了本文提出的方法的有效性。与传统的单主惯性导轨和副惯性导轨之间的传递对准方法相比，本文方法在传递对准精度方面有明显的提高。此外，该方法不受分布式惯性网络中惯性设备故障的影响，能够持续保持较高的传递对准精度。 对于这种具有子节点集合层的弹载分布式惯性网络，经过比较发现：同一子节点集合中不同从节点的传输对准误差基本相同；不同子节点组之间，距离主惯性导轨越近，传输对准误差越小。该研究为解决运载导弹等高长径比导弹与内载制导子弹药转移对准精度差的问题提供了新的解决思路，具有一定的参考价值。