基于数字孪生的航天电推进器优化设计方法

针对以引力波探测为代表的空间科学任务和以“国网星座计划”为代表的商用卫星网络任务对推进器的特殊需求，本文提出了一种基于数字孪生的推进器优化设计方法。该方法首先建立由机理模型模块和测试数据集模块组成的数字孪生体。机理模型模块依据推进器的物理过程建立模型，对难以测量的数据进行仿真模拟；测试数据集模块通过实验对推进器进行测试，依靠测试数据建立可测参数的数学模型。将数字孪生体与实验进行对比，通过对比结果反馈调节机理模块从而不断提高孪生体的准确性，最终为优化设计提供依据。结果表明：(1)该方法能够构建微波离子推进器的数字孪生体；(2)该数字孪生体的预测结果存在一定差异，通过分析发现该差异与机理模型的精细度以及测试数据集的数据量有关。

Digital Twin Based Optimization Design Method for Aerospace Electric Thruster

A digital twin based thruster optimization design method is proposed to address the special needs of space science missions represented by gravitational wave detection and commercial satellite network missions represented by the National Network Constellation Program. Firstly, a digital twin consisting of a mechanistic model module and a test dataset set module is established. The mechanism model module builds a model according to the physical process of the thruster and then simulates the data that is difficult to measure. The test dataset module tests the thruster through experiments and builds a mathematical model of measurable parameters based on the test data. Comparing the digital twin with the experiment, the feedback from the comparison results is used to adjust the mechanism module so as to continuously improve the accuracy of the twin, and finally provide a basis for the optimization design. The results show that: (1) this method is able to construct the digital twin of microwave ion thruster; (2) there are some differences in the prediction results of the digital twin, which are found to be related to the fineness of the mechanism model and the amount of data in the test data set.