基于有限元的带活动构件空间桁架特征结构复原

L. Boni, G. Mengali, A. Quarta, M. Bassetto
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引用次数: 0

摘要

大型桁架结构在太空中有许多潜在的应用,如天线、望远镜和太空太阳能发电厂。在这种情况下,人们自然会担心这些轻质结构在其运行寿命期间容易受到撞击、瞬态热状态和疲劳现象的破坏。在桁架中加入配备传感器/执行器系统的主动元件,能够调节其形状和强度,从而将桁架转变为智能结构,一旦检测到损坏,就能进行补救。本文介绍了一种程序,该程序至少能够恢复复合材料桁架在空间应用中的基本功能,从观测到发生损坏开始,无论其具体位置如何。系统特征结构被用作损坏检测的基准,以及后续修复活动的目标特征。采用观测器/卡尔曼滤波器识别算法(OKID)与特征系统实现算法(ERA)级联,根据传感器记录,按照系统状态空间表示法和特征特性重建桁架的动态响应。最后,开发了一种静态输出反馈控制,以恢复桁架的低频动态特性。整个过程通过有限元分析进行测试。所有活动都在一个创新程序中协调进行,该程序通过独特的 Python 语言代码自动生成有限元(FE)模型、启动有限元分析(FEA)、提取输出数据、实施 OKID-ERA、处理控制法则并将其应用于最终的 FE 仿真。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FEM-based eigenstructure recovery of a space truss with active members
Large truss structures have many potential applications in space, such as antennas, telescopes and space solar power plants. In this scenario, a natural concern is the susceptibility of these lightweight structures to be damaged during their operational life, due to impacts, transient thermal states and fatigue phenomena. The inclusion of active elements, equipped with sensor/actuator systems capable of modulating their shape and strength, makes it possible to transform the truss into a smart structure capable of remedying the damage, once it is detected. In this paper, a procedure is described that is capable of restoring at least the basic functionality of a composite truss for space applications, starting with the observation that damage has occurred, regardless of its specific location. The system eigenstructure is used as a benchmark for damage detection, as well as a target characteristic for the subsequent restoration activity. The observer/Kalman filter identification algorithm (OKID), in cascade with the eigensystem realization algorithm (ERA), is adopted to reconstruct, from sensor recordings, the dynamic response of the truss in terms of system state-space representation and eigen-characteristics. Finally, a static output feedback control is developed to recover the low-frequency dynamic behaviour of the truss. The entire procedure is tested using finite element analysis. All activities are coordinated in an innovative procedure that, within a unique Python language code, automatically generates finite element (FE) models, launches finite element analysis (FEA), extracts output data, implements OKID-ERA, processes the control law and applies it to the final FE simulation.
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