炸弹制导化改进过程中采用微机电惯性测量装置可以降低费用,但精度不足,动基座传递对准技术的应用可以减小微机电惯性测量装置的初始误差,提高精度。文中建立了主、子惯导系统的误差模型,设计了Kalman滤波估计器,修正了微机电惯性导航装置的姿态矩阵,使子惯导在制导炸弹发射前获得最佳的初始值,从而提高了微机电惯性测量装置的精度,保证了微机电惯性测量装置使用的可行性,为炸弹制导化改进的低成本、高精度提供了条件。

During guided retrofit of bombs, the adoption of MEMS-IMU (inertial measurement unit) can significantly cut the cost. However, insufficient accuracy is a big problem with MEMS-IMU. To solve the problem, kinetic pedestal transfer alignment is adopted to eliminate initial error and improve system accuracy. At first, the authors set up an error model of the main and subordinate inertial navigation system. Then, Kalman filter is used to estimate the measurement error of the MEMS-INS. Therefore, the error can be corrected in the gesture matrix, and the model can feed the MEMS-INS with the best initial value at the time of launch, which, in turn, improves system accuracy and makes it more feasible. In a word, kinetic pedestal transfer alignment can improve the accuracy of MEMS-IMU and the combination provides a low-cost, high-accuracy option for the guided retrofit of bombs.