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针对空间转移飞行器的工作环境和特点,分析了捷联惯性导航系统(SINS)、GPS和星敏感器(SS)的优缺点,提出了基于SINS/GPS/SS的空间转移飞行器自主导航系统的信息融合方法,该方法可取长补短,将GPS定位和星敏感器定姿精度高的优势辅助于捷联惯导系统,建立了组合导航滤波模型,利用联邦滤波组合导航中各子滤波器没有私有状态变量的特点,改进了联邦Kalman滤波器,可动态地选取并优化信息分配因子,便于实时处理。仿真结果表明,改进的联邦滤波算法能充分运用各导航系统的信息进行信息互补和信息融合,比传统的联邦滤波算法有更高的估计精度,可满足空间转移飞行器长时间的自主导航要求,是一种较理想的自主导航方案,具有重要的工程应用价值。
In view of the working environment and characteristics of spacecraft, the advantages and disadvantages of SINS, GPS and satellite sensor (SS) are analyzed, and the information of autonomous navigation system of spacecraft based on SINS / GPS / SS This method can complement each other’s strengths and weaken the shortcomings of the GPS navigation system. The advantages of GPS positioning and star sensor’s high attitude accuracy are assisted by SINS. A combined navigation filter model is established. By using federated filter combination navigation, each sub-filter has no private state variables Features, improved federal Kalman filter can dynamically select and optimize the information distribution factor for easy real-time processing. Simulation results show that the improved federated filtering algorithm can make full use of the information of each navigation system for information complementarity and information fusion. Compared with the traditional federated filtering algorithm, the improved federated filtering algorithm has higher estimation accuracy and can meet the long-time autonomous navigation requirements of space-borne aircraft. A more ideal autonomous navigation scheme has important engineering application value.