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Integrated SVD/EKF for Small Satellite Attitude Determination and Rate Gyro Bias Estimation

机译:集成SVD / EKF用于小型卫星姿态确定和速率陀螺仪偏差估计

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In this study an integrated singular value decomposition (SVD)/ Extended Kalman filter (EKF) attitude determination system is presented, in which the SVD and EKF algorithms are combined to estimate the attitude angles and angular velocities and gyro biases, respectively. As a reference directions for SVD, the unit vectors toward the Sun and Earth's Magnetic Field are used. The Euler angles produced SVD are provided as input to the EKF along with angular rate data. The parameters of satellite's rotational motion and rate gyro biases are estimated using EKF. In comparison to more traditional approaches, this preprocessing step significantly reduces the complexity of filter design by allowing the use of linear measurement equations.
机译:在这项研究中,提出了一个集成的奇异值分解(SVD)/扩展卡尔曼滤波器(EKF)姿态确定系统,其中SVD和EKF算法相结合,分别估计了姿态角,角速度和陀螺仪偏置。作为SVD的参考方向,使用了朝向太阳和地球磁场的单位矢量。欧拉角产生的SVD与角速率数据一起作为EKF的输入提供。使用EKF估算卫星的旋转运动和速率陀螺仪偏差的参数。与更传统的方法相比,该预处理步骤允许使用线性测量方程,从而大大降低了滤波器设计的复杂性。

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