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During the approach phase, the aircraft is prone to human error caused by the occurrence of unstable approach. In order to facilitate the study of the flight quality of the approach phase, this paper proposes to study on extraction of QAR key parameters in approach phase. The QAR parameters are classified by R-type clustering analysis, combined with the flight principle, the aircraft performance-related knowledge and the pilot's personal flight experience to judge. The variables within the group with higher correlation coefficients are reduced after each cluster. Ultimately, the main parameters of the QAR are the barometric altitude, the total air temperature, the wind speed, the wind direction, the pitch angle, the roll angle, the yaw angle, the indicated airspeed, the vertical speed, the longitudinal acceleration, the lateral acceleration and the vertical acceleration. Through these QAR key parameters, it can describe the trajectory and trend of the aircraft in the 3D space, which has laid a good foundation for studying the fight quality in approach phase.

Research on Extraction of QAR Key Parameters during Approach Phase of Civil Aviation