【作者】 丁延卫； 尤政； 卢锷；

【Author】 Ding Yanwei You Zheng Lu E (Department of Precision Instrument and Mechanics, Tsinghua University, Beijing 100084, China) (Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, 130092, China)

【机构】 清华大学精密仪器与机械学系； 中国科学院长春光学精密机械与物理研究所；

【摘要】 空间相机在轨工作时所处的热环境与地面状态差异很大,温度场的变化会给系统带来较大的热光学误差,影响成像质量。热光学分析是空间相机研制工程中的重要环节。是涉及传热、材料、机械、光学等学科的多学科问题。空间相机精密度高、结构复杂,包含很多非线性因素,增大了热光学分析的难度。利用成熟的BP神经网络建立相机温度分布与光学成像质量状况之间的网络模型,利用热光学试验获得的数据样本进行训练,并对其他样本进行预测,结果较好。更多还原

【Abstract】 The temperature difference of space camera between on-bit and on-ground caused distinct thermo-optical errors and declined image quality. Thermo-optical analysis which dealed with the relationship between temperature field and image quality was a muhidiscipline question related to heat transfer, material, structural and optics, and was important in the process of research and development of space camera. Complex structure and its non-linear factors made difficult to analysis thermo-optical performance of space camera. Based on BP neural network, the model between temperature field and image quality was built, then this network model was trained according to thermo-optical test data, and other samples were predicted.更多还原