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随着现代航天器等高精度飞行系统的日益复杂 ,飞行控制系统的安全运行问题愈来愈突出地表现出来。故障检测、隔离和重构 ( FDIR)技术是航天器可靠性的重要保证。文章在卡尔曼滤波估计算法的基础上 ,提出了基于递阶联合滤波器族的故障检测、隔离和重构方法。该方法根据备份滤波器的概念 ,构造了一种融合滤波器的树状递阶联合结构 ,在此基础上 ,可以设计并实现多级故障检测和隔离措施 ,进而有效地完成系统的重构功能。通过一个 INS/GPS/Doppler组合导航系统的仿真实例 ,说明了该方法的可行性和有效性。基于递阶联合滤波器结构的多传感器信息处理技术克服了集中卡尔曼滤波器和普通联合滤波器的缺陷 ,对提高多传感器系统的容错性能具有重要意义
With the increasing complexity of high-precision flight systems such as modern spacecraft, the problem of safe operation of flight control systems has become increasingly prominent. Fault detection, isolation and reconstruction (FDIR) technology is an important guarantee for spacecraft reliability. Based on the Kalman filter estimation algorithm, the paper presents a fault detection, isolation and reconstruction method based on hierarchical joint filter family. According to the concept of backup filter, this method constructs a tree-like hierarchical hierarchical structure with fusion filter. Based on this, a multi-level fault detection and isolation measure can be designed and implemented, and then the reconstruction function of the system can be effectively completed . The simulation example of INS / GPS / Doppler integrated navigation system shows the feasibility and effectiveness of this method. The multi-sensor information processing technology based on the hierarchical joint filter structure overcomes the defects of the centralized Kalman filter and the common joint filter and is of great significance for improving the fault tolerance of the multi-sensor system