Kriging-algorithm-based Aerodynamic Model for Flush Airdata System

摘要：

　　A novel numerical model which calculates the air data for flush airdata system was developed based on the Kriging interpolation.This method constructs the transformation matrix between the inputs i.e.the pressure measured by the sensor and the outputs i.e.angle of attack,angle of slide and Mach number; hence the required air data can be directly computed without iterations.As a result,the air data can be calculated in real-time.The accuracy of the model was compared with the neural network model with different numbers of inputs,and the positions of the sensor were also taken into account in the comparison.The Kriging model showed superior accuracy than the neural network model.

关键词： flush airdata system aerodynamic model neural network method Kriging method

作者: Yibin WANG Ning QIN Xueqiang LIU

作者单位: College of Aeronautics and Astronautics,Nanjing University of Aeronautics and Astronautics,Nanjing 2 Department of Mechanical Engineering,The University of Sheffield,Sheffield S1 3JD,UK

会议类型: 国际会议

会议名称: 2014 Asia-Pacific International Symposium on Aerospace Technology(2014亚太航空航天技术学术会议)

会议地点: 上海

会议语种:英文

页码: 1-8

在线出版日期: 2014-09-24（万方平台首次上网日期，不代表论文的发表时间）