月球探测器的软着陆过程要求实时监测探测器的运动状态,该过程包含复杂的轨道控制和姿态调整。本文以精确监测探测器轨道机动过程为目的,建立了线性的姿控力模型和平均化的轨控推力模型,在此基础上建立增广系统的滤波方法,利用高精度连续跟踪观测数据在线标定探测器机动的动力学参数,补偿动力学参数的不确定性,实现机动过程的实时轨道确定。
The soft-landing mission of lunar explorer is much in demand for real-time tracking and navigation along the descending flight. The soft-landing process includes complicated orbital control and attitude control. This article focuses on accurately monitoring the orbital maneuver process by using linear attitude control force model and two kinds of orbital control thrust models. An EKF filter for augmented dynamics system is developed to estimate position-velocity and dynamics parameters accurately by use of consecutive high-accuracy observations. Due to the compensation for the uncertainties of dynamics model, the accurate real-time orbit determination during the continuous maneuver process can be realized.