人工鱼群算法在单轴旋转惯导系统轴向陀螺漂移辨识中的应用

Identification of axial RLG drift in single-axis inertial navigation system based on artificial fish swarm algorithm

在惯性导航系统中,采用单轴旋转技术可以调制垂直于旋转轴方向上的惯性器件误差,而对沿旋转轴方向的误差没有抑制作用,因此旋转轴方向上激光陀螺漂移成为影响惯性导航系统精度的主要因素之一。为精确地辨识旋转轴方向上激光陀螺漂移,提高激光陀螺单轴旋转惯导系统的精度,利用人工鱼群算法AFSA(artificial fish swarm algorithm)建立了单轴旋转惯导系统轴向陀螺漂移辨识模型,给出了AFSA辨识的详细步骤和方法。实验结果表明:AFSA可以对轴向激光陀螺漂移进行精确建模,补偿后的激光陀螺零偏不稳定性达到0.000 4°/h。

Single-axial rotation can compensate the vertical errors of the inertial apparatus auto-matically ,but can not compensate the axial vertical errors in inertial navigation system .There-fore ,the axial drift of ring laser gyroscope (RLG) is an important factor for affecting the accu-racy of inertial navigation system .The accurate identification of axial RLG drift can improve the precision of inertial navigation system .The identification model of axial RLG drift based on artificial fish swarm algorithm (AFSA) was introduced and the steps and method were given . The experimental results show the identification model by AFSA is accurate and the drift insta-bility of RLG after it is compensated is 0 .000 4 °/h .The proposed method is an effective ap-proach and has a better identification precision and engineering practice value .