A new hierarchical method for fault detection, isolation, and identification of nonlinear systems with applications for in-orbit closed-loop controlled satellites is proposed where fault detection employs unscented Kalman filter and adaptive thresholds. Fault isolation employs multiple model approach in conjunction with Bayes’ probability theorem and adaptive window, and fault identification employs dual state/parameter estimation using unscented Kalman filter. Results show up to 97% success rate under comprehensive Monte Carlo simulations for transient abrupt faults in satellite actuators.

中文翻译：

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卫星姿态控制反作用轮故障隔离

提出了一种新的分层方法，用于非线性系统的故障检测、隔离和识别，适用于在轨闭环控制卫星，其中故障检测采用无味卡尔曼滤波器和自适应阈值。故障隔离采用多模型方法结合贝叶斯概率定理和自适应窗口，故障识别采用使用无迹卡尔曼滤波器的双状态/参数估计。结果显示，在综合蒙特卡罗模拟下，卫星执行器瞬态突然故障的成功率高达 97%。