采用传统的静基座初始对准方法,箭载捷联惯导初始对准精度将受制于惯性器件的误差水平,而且若对准过程中受到阵风干扰,则会使对准精度进一步下降。为了实现阵风干扰下高精度初始对准,提出采用双位置初始对准方法,并采用多模型自适应卡尔曼滤波方法实现抗干扰最优状态估计。数学仿真结果证明,双位置初始对准精度明显高于传统的静基座初始对准,并且多模型自适应卡尔曼滤波可有效提高阵风干扰下的对准精度。

Accuracy of traditional initial alignment on static base for launch vehicle strapdown inertial navigation system (SINS) depends on gyro and accelerometer bias. Under wind disturbance, error of traditional initial alignment is larger. Two-position initial alignment was used to improve accuracy of initial alignment for launch vehicle SINS under wind disturbance. The multiple model adaptive Kalman filter was presented to get optimal estimation for two-position initial alignment under the disturbance. The simulation results show accuracy of two-position initial alignment is better than traditional initial alignment, and multiple model adaptive Kalman filter can efficiently improve accuracy of initial alignment under wind disturbance.