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Satellite fault diagnosis using a bank of interacting Kalman filters

机译：使用一组相互作用的卡尔曼滤波器进行卫星故障诊断

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The main objective of this work is development and testing of a detection, isolation, and diagnosis algorithm based on interacting multiple model (IMM) filters for both partial (soft) and total (hard) reaction wheels faults in a spacecraft. This is shown to be accomplished under a number of different faulty mode scenarios for these actuators associated with the attitude control system (ACS) of a satellite. Various operating and faulty conditions due to changes and anomalies in the temperature, the power supply line voltage, and the loss of effectiveness of the torque and the current are considered in each reaction wheel associated with the three axes of the satellite. Once a fault mode is detected and isolated the recovery procedure can subsequently be engaged by invoking appropriate switching control strategies for the ACS. The application of a bank of interacting multiple Kalman filters for detection and diagnosis of anticipated reaction wheel failures in the ACS is described and developed. Compared with other model-based fault detection, diagnosis and isolation(FDDI) strategies developed in the control systems literature, our FDDI strategy is shown, through extensive numerical simulations, to be more accurate and robust with potential for extension to a number of other application areas.
机译：这项工作的主要目的是开发和测试一种基于交互多模型（IMM）过滤器的检测，隔离和诊断算法，该算法适用于航天器的部分（软）和全部（硬）反作用轮故障。对于与卫星的姿态控制系统（ACS）相关联的这些致动器，这显示在多种不同的故障模式情形下可以实现。在与卫星的三个轴相关联的每个反作用轮中，都考虑到由于温度，电源线电压的变化和异常而导致的各种操作和故障情况，以及转矩和电流的有效性损失。一旦检测到故障模式并隔离了故障模式，随后可以通过为ACS调用适当的开关控制策略来进行恢复过程。描述和开发了一组交互的多个卡尔曼滤波器在ACS中用于检测和诊断预期的反应轮故障的应用。与控制系统文献中开发的其他基于模型的故障检测，诊断和隔离（FDDI）策略相比，通过广泛的数值模拟，我们的FDDI策略更准确，更可靠，并且有可能扩展到许多其他应用地区。

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