QAR数据处理在气动力矩参数辨识中的应用

长期飞行引起的结构疲劳损伤和复杂环境下的腐蚀损伤等因素导致飞机的气动模型会随时间略有变动,而飞机气动模型的辨识对于分析飞机当前的运行状况具有重要意义.为了完成飞机气动模型的再次辨识,通过分析、处理飞机自带的快速存取记录器(QAR)数据,根据动力学原理建立气动力矩数学模型,最后运用极大似然法辨识出各气动导数.经验证,辨识结果满足仿真要求,可应用于模拟飞行、机务维修信息指导和事故预警与重现等.

Application of QAR Data Processing in Aerodynamic Moment Parameter Identification

Due to the structural fatigue damage caused by long-term flight, the corrosion damage under complex environment and other factors, the aircraft aerodynamic model will slightly change over time. However, identification of the aircraft aerodynamic model is very important for analyzing the current running status of the aircraft. In order to complete the re-identification of the aircraft aerodynamic model, airborne QAR （Quick access recorder） data is to be analyzed and processed while a mathematical model of aerodynamic moment based on dynamics principles is established. In the end, a maximum likelihood method is employed to identify the aerodynamic derivatives. It is verified that the identification results meet the simulation requirement and can be applied to simulation of flight, aircraft maintenance information guidance and accident early warning and reappearance, etc.