首页> 外文会议>Cranfield Conference on Dynamica and Control of Systems and Structures in Space; 2004; Liguria; IT >Modelization, Failures Identification and High-level Recovery in Fast Varying Non-linear Dynamical Systems for Space Autonomy
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Modelization, Failures Identification and High-level Recovery in Fast Varying Non-linear Dynamical Systems for Space Autonomy

机译:空间自治的快速变化非线性动力学系统的建模,故障识别和高级恢复

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This paper shows the realization and validation of a detection, identification and recovery module for hardware failures on ESA GOCE satellite, merging two independently developed modules. The work is currently focused on its attitude control subsystem, following a previous work on the power subsystem. This application is more challenging than the former because of two reasons. Control system, sensors and actuators are highly interdependent; hence to correctly understand which is the faulty device is definitely a hard task. Secondly, the dynamical behaviour of some components is related to very high frequencies, asking for a finer attention to be paid in the neuro-fuzzy model identification phase.
机译:本文通过合并两个独立开发的模块,展示了ESA GOCE卫星硬件故障检测,识别和恢复模块的实现和验证。在先前有关电源子系统的工作之后,当前的工作集中在其姿态控制子系统上。由于两个原因,该应用程序比前者更具挑战性。控制系统,传感器和执行器高度相互依赖;因此,正确了解哪个是故障设备绝对是一项艰巨的任务。其次,某些组件的动力学行为与非常高的频率有关,因此需要在神经模糊模型识别阶段给予更多关注。

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