Grey Correlation Analysis of Hard Landing Based on QAR Data

Abstract

In this paper, an analysis model is established based on grey theory, and the key flight control parameters of hard landing events are studied by using Quick Access Recorder (QAR) decoded data. By analyzing the real QAR decoded data of aircraft hard landing, the correctness of the method is verified by first calculating the grey absolute correlation degree of known parameters. Then, the key flight control parameters and flight state parameters are selected from the decoded data of QAR hard landing, and the relation between them is studied by using the grey absolute correlation analysis method, so as to define the key control parameters that affect the aircraft hard landing. Through the application and verification of grey absolute correlation analysis method, it can provide some theoretical guidance for the improvement of pilot’s control skills or procedures, reduce the occurrence of aircraft hard landing events and improve flight safety.