论文部分内容阅读
针对运行于日地L2点Halo轨道探测器,给出了质心惯性坐标系和质心旋转坐标系中的探测器运动方程,并建立了以星光角距作为观测量的导航模型,采用扩展卡尔曼滤波(EKF)算法解算探测器位置,以Cramér-Rao误差下界(CRLB)为系统可观测度的度量标准分析了不同的状态量和观测量对导航性能的影响.通过数值仿真发现导航坐标系、主天体、导航恒星数目以及滤波器采样周期等因素对导航性能的影响较大,并依据平动点轨道运动学分析了以上因素对导航精度的影响.
Aiming at Halo orbital locator at day-level L2, the equations of motion of the detector in the centroid inertial coordinate system and the centroid rotating coordinate system are given, and the navigation model with the angular celestial distance as the observational quantity is established. The extended Kalman filter (EKF) algorithm is used to calculate the position of the detector, and the influence of different state variables and observations on the navigation performance is analyzed by using Cramér-Rao error bounds (CRLB) as the measure of system observability.According to the numerical simulation, The main celestial bodies, the number of navigation stars and the sampling period of the filter have a great influence on the navigation performance. The influence of the above factors on the navigation accuracy is analyzed based on the translational orbit kinematics.