基于联邦UKF的可重复使用运载器再入段组合导航

Reentry integrated navigation of reusable launch vehicle based on federated UKF algorithm

针对航天科技领域的再入问题,根据导航系统状态方程非线性的特点,设计基于联邦滤波的UKF(Unscented Kalman Filter)算法,并应用于可重复使用运载器(Reusable Launch Vehicle,RLV)的组合导航系统.对基于该算法的RLV组合导航(惯性导航、卫星导航和天文导航)系统进行仿真,并与传统的基于联邦滤波算法对组合导航系统进行比较.结果表明,提出的组合导航方案和基于联邦滤波的UKF算法能提高导航精度、鲁棒性和容错性.

With the reentry problem in astronautic technology field, the Unscented Kalman Filter（UKF） algorithm is designed based on federated filter according to the nonlinear characteristic of the state equations in navigation system. And it is applied in the integrated navigation system of Reusable Launch Vehicle （RLV）. The integrated navigation system of RLV which includes inertial navigation, satellite navigation and celestial navigation is simulated and compared with the system based on traditional federated filtering algorithm. The result demonstrates that the integrated navigation method and the UKF algorithm based on federated filtering can improve the navigation precision, robustness and reliability.