轨道机动过程中推力加速度的实时最小方差估计

飞行器轨道机动过程中，为跟踪、定位机动目标和干预机动控制过程，需要统计处理离散的雷达观测量实时估计推进发动机的推力，进而确定飞行器的瞬时轨道参数。本文所述算法是该工程问题的探讨和解决方案。文章建立了轨道机动过程中连续变质量运动模型和离散雷达量测模型，推进发动机的质量秒耗量作为表征推力加速度的一个近似常量，应用扩展卡尔曼滤波对离散的雷达测量数据进行顺序统计处理给出秒耗量的最小方差估计；文章详细地推导了线性化量模型的变分方程和观测矩阵；仿真结果表明该算法能快速、准确地估计推进发动机的质量秒耗量和向机动目标施加的实际推力。

On-line minimum-variance estimator for thrust acceleration during orbit transfer process

An on line minimum variance estimator was developed for thrust acceleration applied to orbit transfer using discrete time radar measurements.The mass flow rate of propellant was selected as a state variant,which was estimated by employing an integral state model and EKF filter.The variation equations for measurement vector to mass flow rate have been established to linearize the discrete time measurement equations.The algorithm has applied successfully to maneuver process in commanding satellite into Geo stationary orbit.The results show that the algorithm developed here can monitor and determine whether engine works well or failure precisely and quickly during orbit transfer process.