数字孪生增强的领域自适应航天器多余物检测

Digital-twin-enhanced Domain Adaptation Method for Spacecraft Remainders Detection

摘要:

多余物控制是航天产品面临一大难题，航天器多余物在线检测受到标记数据不足的影响，本文研究了多余物产生的物理特性，建立了航天器数字孪生系统中的多余物模型，提出数字孪生增强的跨域自适应航天器多余物检测方法，这种方法通过数字孪生增强，获取航天器实时数据，结合相似结构历史标记数据，应用跨域自适应方法协助当前的在线推理，此外还提出了一种新式跨域自适应方法模型，通过一种共享网络结构和门控机制，更好的从复杂任务中挖掘先验知识。最终实现通跨域自适应技术和数字孪生结合，在计算机上模拟真实结构，这种方法实现了更高效、准确和实时的预测，可以全面检测航天器不同部件的多余物状态。

Abstract:

Remainders control is a major challenge facing spacecraft products, but spacecraft remainders online detection is affected by insufficient marker data. This paper studies the physical characteristics of remainders generation, establishes a remainders model in spacecraft digital twin systems, and proposes a cross-domain adaptive spacecraft remainders detection method with digital twin enhancement. This method, through digital twin augmentation, which first acquires spacecraft real-time data and then combines similar structural historical marker data to apply a cross-domain adaptive approach to assist current online reasoning. This paper also proposes a new type of cross-domain adaptive approach model to better mine prior knowledge from complex tasks through a shared network structure and gating mechanism. By combining cross-domain adaptive techniques and digital twins to simulate real structures on a computer, this approach achieves more efficient, accurate and real-time predictions for comprehensive detection of remainders states of different components of spacecraft.