摘要
在长期飞行过程中,由于飞行环境的复杂性,飞机的气动模型会因为机体结构疲劳损伤和腐蚀损伤而略微有所变化。针对这一现象,将能够实时反应飞行状态的快速存取记录器QAR(Quick Access Recorder)所记录的飞行数据应用于飞机气动力参数辨识。通过对QAR数据进行译码、野值剔除与补正、滤波等预处理,运用分段最小二乘法进行参数辨识,并运用交叉验证法进行参数检验,建立完整的气动模型。模型精度达到模拟飞行、仿真维修等领域的要求。
Plane's aerodynamics model will vary slightly due to the airframe structural fatigue damage and corrosion damage in complex environment during the long-term flight. Aiming at this phenomenon, the flight data from quick access recorder (QAR) which can response the flight state in real time is applied to the plane aerodynamic parameters identification. A complete aerodynamic model is built after the pretreatment on the data including the QAR data decoding, outliers excluding and correction and the filtration, and the method of piecewise least squares is used to identify the parameters, and the cross validation method is employed in parameters test as well. The accuracy of the model can meet the requirements of flight simulator and the maintenance simulation, etc.
出处
《计算机应用与软件》
CSCD
北大核心
2013年第6期57-59,共3页
Computer Applications and Software
基金
国家重点基础研究发展计划项目(2010CB 955401)
中央高校基本科研业务费项目(ZXH2012B001)
民航局科技基金项目(MHRD201008,MHRD201121)
关键词
QAR数据
参数辨识
数据预处理
分段最小二乘法
QAR data
Parameters identification
Data pre-treatment
Piecewise least square method