Mao Jialong
1.Jiangsu Collaborative Innovation Center for Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology，Nanjing 210044, China； 2.The Jiangsu Key Lab for Meteorological Detection and Information Processing, Nanjing University of Information Science and Technology，Nanjing 210044, China； 3.School of Electronic and Information Engineering, Nanjing University of Information Science and Technology，Nanjing 210044, ChinaLiu Qingquan
1.Jiangsu Collaborative Innovation Center for Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology，Nanjing 210044, China； 2.The Jiangsu Key Lab for Meteorological Detection and Information Processing, Nanjing University of Information Science and Technology，Nanjing 210044, China； 3.School of Electronic and Information Engineering, Nanjing University of Information Science and Technology，Nanjing 210044, ChinaPan Xu
1.Jiangsu Collaborative Innovation Center for Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology，Nanjing 210044, China； 2.The Jiangsu Key Lab for Meteorological Detection and Information Processing, Nanjing University of Information Science and Technology，Nanjing 210044, China； 3.School of Electronic and Information Engineering, Nanjing University of Information Science and Technology，Nanjing 210044, ChinaWang Ke
1.Jiangsu Collaborative Innovation Center for Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology，Nanjing 210044, China； 2.The Jiangsu Key Lab for Meteorological Detection and Information Processing, Nanjing University of Information Science and Technology，Nanjing 210044, China； 3.School of Electronic and Information Engineering, Nanjing University of Information Science and Technology，Nanjing 210044, China1.Jiangsu Collaborative Innovation Center for Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology，Nanjing 210044, China; 2.The Jiangsu Key Lab for Meteorological Detection and Information Processing, Nanjing University of Information Science and Technology，Nanjing 210044, China; 3.School of Electronic and Information Engineering, Nanjing University of Information Science and Technology，Nanjing 210044, China
TN376
Aiming at the demand of UAV for high-altitude weather detection, in this paper, an armoured platinum resistance temperature sensor with radiation shield is designed. Firstly, a computational fluid dynamics (CFD) approach was employed to work out the solar radiation error of armoured platinum resistance temperature sensors with or without radiation shield under multi-physical fields, and the comparative analysis was carried out. Then, Support Vector Machine (SVM) and Particle Swarm Optimization Support Vector Machine (PSO-SVM) algorithms were used for training data to compare the the forecast models. Finally, a low-pressure wind tunnel experimental setup was constructed for simulating the upper atmosphere environment, and the experimental data and the algorithm prediction results were compared. The experimental findings indicate that the mean measurement discrepancy of the proposed platinum resistance temperature sensor with radiation shield is 0.014 1 K, and the root mean square error is 0.015 0 K.
