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Relative Status Determination for Spacecraft Relative Motion Based on Dual Quaternion

机译:基于双季度的航天器相对运动的相对状态确定

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摘要

For the two-satellite formation, the relative motion and attitude determination algorithm is a key component that affects the flight quality and mission efficiency. The relative status determination algorithm is proposed based on the Extended Kalman Filter (EKF) and the system state optimal estimate linearization. Aiming at the relative motion of the spacecraft formation navigation problem, the spacecraft relative kinematics and dynamics model are derived from the dual quaternion in the algorithm. Then taking advantage of EKF technique, combining with the dual quaternion integrated dynamic models, considering the navigation algorithm using the fusion measurement by the gyroscope and star sensors, the relative status determination algorithm is designed. At last the simulation is done to verify the feasibility of the algorithm. The simulation results show that the EKF algorithm has faster convergence speed and higher accuracy.
机译:对于两个卫星的形成,所述相对运动和姿态确定算法是影响飞行质量和任务效率的关键部件。相对状态确定算法是基于扩展的卡尔曼滤波器(EKF)和系统状态最佳估计线性化方案。针对飞船形成导航问题的相对运动,飞船相对运动学和动力学模型是从算法中的双四元的。然后利用EKF技术,与双四元组合综合动态模型,考虑使用由所述陀螺仪和星传感器融合测量导航算法,相对状态确定算法被设计。最后完成仿真来验证算法的可行性。仿真结果表明,扩展卡尔曼滤波算法具有更快的收敛速度和更高的精度。

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