基于多元气动模型的迎角-空速互补估计方法

Angle of Attack-Airspeed Complementary Estimation Method Based on Multivariate Aerodynamic Model

基于现有机载系统与设备信息,研究与机载大气数据系统非相似的大气数据估计方法,能提高大气数据系统可靠性,进一步保障飞行安全。以民用飞机为背景,通过对逐步回归分析方法进行优化,利用风洞试验数据和飞行数据,构建了多元气动模型;以飞机升力系数与动压转换关系为核心,融合大气数据传感器和机载设备信息,研究了一种迎角-空速互补估计方法。经某型民用飞机气动模型和飞行数据仿真验证试验,该方法的空速估计误差优于1.14 m/s,迎角估计误差优于0.17°,具有良好的工程应用参考价值。

Based on the existing airborne system and equipment information,the study of air data estimation methods that are not similar to airborne air data systems can improve the reliability of air data systems and further ensure flight safety.Based on the background of civil aircraft,a multivariate aerodynamic model is constructed by optimizing the stepwise regression analysis method and using wind tunnel test data and flight data.Based on the relationship between the lift coefficient of the aircraft and the dynamic pressure conversion,a complementary estimation method of angle of attack and airspeed is studied by fusing the information of air data sensors and airborne equipment.The aerodynamic model and flight data simulation verification test of a civil aircraft show that the airspeed estimation error of this method is better than 1.14 m/s,and the angle of attack estimation error is better than 0.17°,which has good engineering application reference value.