半导体精密控温技术在航天器包装容器的应用

目的 对某型号航天器包装容器进行温控系统设计,以达到航天器高精度控温的要求.方法 对总体保温布局进行设计,优化被动保温结构,采用半导体控温方式,利用Ansys Workbench进行稳态和瞬态热力学分析.通过试验测试,验证保温结构设计和热力学分析结果的合理性.结果 在外部施加热源温度36℃和0℃情况下,随着热源区域的远离,包装容器内部的温度也趋于平稳,内部装载产品区域温度基本能维持在20.99～22.662℃.实际试验结果显示箱内温度变化不大于±1℃,比传统的空调控温精度高出70％左右.结论 通过优化箱体的被动保温结构,采用半导体精密控温,可以满足未来航天器小型化、高精度运输要求.

Application of Precision Temperature Control Technology in Spacecraft Transportation and Packaging Container

In order to solve the problem of complex and low accuracy of motor drive fault diagnosis in automatic packaging production line, and to improve the stability of motor operation and personnel safety in complex production environment, a precise prediction method of motor drive fault based on XGBoost feature reconstruction and neural network prediction is proposed. The method first uses a part of the training data to construct a feature tree through the XGBoost algorithm, and then inputs the remaining training data into the XGBoost algorithm to obtain the reconstructed features. Consequently, using the One-hot encoding to map the reconstructed features to the Euclidean space to further amplify the difference in features. Finally, the obtained features are input into the neural network model with parameter adjustment to complete the fault prediction. Compared with the neural network model constructed without XGBoost features, the structure proposed in this paper achieves nearly 100% classification accuracy on the verification set and the test set of the data test set randomly divided, which verifies the effectiveness and stability of the model. The sensorless high-precision diagnosis of the motor drive fault in automatic packaging production line is realized, which is beneficial to improve motor stability and personnel safety in complex production environment.