一种新的惯导平台静基座快速初始对准方法  

A New Fast Initial Alignment Method of Inertial Navigation Platform on Stationary Base

作　　者：柳明[1] 向礼[1] 刘雨[1] 苏宝库[1] 

机构地区：[1]哈尔滨工业大学空间控制与惯性技术研究中心,黑龙江哈尔滨150001

出　　处：《上海航天》2010年第5期51-54,共4页Aerospace Shanghai

基　　金：国家安全重大基础研究项目(973-61334)

摘　　要：提出了一种新的惯导平台静基座快速初始对准方法。用两步卡尔曼滤波算法替代常规算法估计水平误差角,根据水平误差角快速收敛的估计结果估计收敛较慢的方位误差角。给出了算法模型。理论分析和仿真结果表明:该算法对水平误差角的估计收敛速度可提高1倍,对方位误差角的收敛速度也相应提高,精度与常规方法一致,是一种有效的快速初始对准方法。A new fast initial alignment method of inertial navigation platform on stationary base was proposed in this paper.The two-stage Kalman filter was used to replace the original Kalman filter to estimate the leveling error.And then the estimation results of leveling errors were used to estimate the azimuth error.The model of the algorithm was given out.The theoretic analysis and simulation results showed that the new initial alignment method could enhance about one times convergence speed of leveling errors,and the convergence speed for azimuth error also be enhanced,which had the same precision as the original method.It was a new and fast initial alignment method for inertial navigation platform on stationary base.

关 键 词：惯导平台 初始对准 两步卡尔曼滤波器 水平误差角 方位误差角 

分 类 号：V249.32[航空宇航科学与技术—飞行器设计]