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Relative Status Determination for Spacecraft Relative Motion Based on Dual Quaternion

机译:基于双四元数的航天器相对运动相对状态确定

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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:对于双卫星编队,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组成部分。提出了基于扩展卡尔曼滤波器(EKF)和系统状态最优估计线性化的相对状态确定算法。针对航天器编队导航问题的相对运动,从算法中的双四元数推导了航天器的相对运动学和动力学模型。然后利用EKF技术,结合双四元数集成动力学模型,考虑陀螺仪和星型传感器融合测量的导航算法,设计了相对状态确定算法。最后通过仿真验证了算法的可行性。仿真结果表明,EKF算法具有更快的收敛速度和更高的精度。

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