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Application of EKF for missile attitude estimation based on “SINS/CNS” integrated guidance system

机译:EKF在基于“ SINS / CNS”综合制导系统的导弹姿态估计中的应用

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To get high-precision attitude of missile in “SINS/CNS” integrated guidance system, which has significant affected the attitude control system and accuracy of error separation, for example, the gyro drift, we built “SINS/CNS” measurement amendment program of missile boost phase for remote-range ballistic missile. Extended Kalman filter is applied to determine real-time, high-precision missile attitude in the program, and the quaternion kinematics equation is established and the inertial navigation system with the star sensor observation data fusion to estimate the error of inertial compensation. Simulations shows that the approach meets the engineering practice because attitude determination can achieve fast convergence and high accuracy compared with QUEST, MLS, inertial iterative algorithm used in practice now.
机译:为了在“ SINS / CNS”综合制导系统中获得高精度的导弹姿态,这对姿态控制系统和误差分离的准确性(例如陀螺仪漂移)产生了重大影响,我们建立了“ SINS / CNS”测量修正程序,远程弹道导弹的导弹助推阶段。在程序中应用扩展卡尔曼滤波器确定实时,高精度导弹姿态,建立四元数运动学方程,并结合星型传感器观测数据与惯性导航系统,估算惯性补偿误差。仿真表明,与目前实际使用的QUEST,MLS和惯性迭代算法相比,姿态确定可以实现快速收敛和高精度,因此该方法符合工程实践。

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