摘要
The Infrared Hyperspectral Atmospheric SounderⅡ(HIRAS-Ⅱ)is the key equipment on FengYun-3E(FY-3E)satellite,which can realize vertical atmospheric detection,featuring hyper spectral,high sensitivity and high precision.To ensure its accuracy of detection,it is necessary to correlate their thermal models to in-orbit da⁃ta.In this work,an investigation of intelligent correlation method named Intelligent Correlation Platform for Ther⁃mal Model(ICP-TM)was established,the advanced Kriging surrogate model and efficient adaptive region opti⁃mization algorithm were introduced.After the correlation with this method for FY-3E/HIRAS-Ⅱ,the results indi⁃cate that compared with the data in orbit,the error of the thermal model has decreased from 5 K to within±1 K in cold case(10℃).Then,the correlated model is validated in hot case(20℃),and the correlated model exhibits good universality.This correlation precision is also much superiors to the general ones like 3 K in other similar lit⁃erature.Furthermore,the process is finished in 8 days using ICP-TM,the efficiency is much better than 3 months based on manual.The results show that the proposed approach significantly enhances the accuracy and efficiency of thermal model,this contributes to the precise thermal control of subsequent infrared optical payloads.
红外高光谱大气探测仪Ⅱ(HIRAS-Ⅱ)是风云三号E星(FY-3E)上的关键设备,具有高光谱、高灵敏度和高精度的垂直大气探测能力。为了确保探测精度,需要将其热模型与在轨温度数据进行标校。本研究中,通过引入先进的克里金代理模型和高效的自适应区域优化算法,建立了一种智能化、自动化、精准化的标校方法,命名为智能热模型标校平台(ICP-TM)。利用该方法对FY-3E/HIRAS进行热模型标校后,结果表明,与在轨数据相比,热模型的预测误差在低温工况(10℃)下从5 K降低到±1 K以内。随后在高温工况(20℃)下验证了标校后的模型,该模型在不同工况下表现出良好的通用性。这种标校精度也优于其他类似文献中的误差值(如3 K)。此外,使用ICP-TM平台完成该标校过程仅用了8天,效率远高于基于手动标校方法的3个月时间成本。这说明所提出的方法显著提高了热模型的精度和效率,有助于后续红外光学载荷的在轨精密热控研究。
出处
《红外与毫米波学报》
北大核心
2025年第3期394-405,共12页
Journal of Infrared and Millimeter Waves
基金
Supported by the National Key Research and Development Program of China(2022YFB3904803)。
作者简介
LI Yu-Han(1997-),female,Jinan,Ph.D.candidate.Research area involves thermal design of optics in space and correlation of thermal models.E-mail:liyuhan202@mails.ucas.ac.cn;Corresponding author:YANG Bao-Yu,E-mail:byyang@mail.sitp.ac.cn。
