Research Of Automatic Quality Evaluation System For Flight Training

At present, analogue airplane has been applied to the training for air force pilots of all thecontries. By improving and perfecting the operating level of pilot flight training, combateffectiveness and flight safety of the aircraft can be enhanced. The flight traning workloads ofanalogue airplane are huge and the traditional method of assessing pilot training quality ismainly depend on artificial score of instructors or experts. Therefore, it consumes a great dealof manpower and material resources. Moreover, assessment bias caused by human factorsoccur frequently. In order to reduce the workload of instructors or experts, savingtime-consuming in flight quality assessment and reducing or avoiding assess deviationscaused by human factors at the same time, design automic quality assessment system of flighttraining has important application value and practical significance.The issue applied information science and technology to the field of flight training. Inorder to achieve the purpose of assessing the pilot flying qualities objectively, effectively andcomprehensively, it graded the pilots flying qualities automatically depend on the parametersrecorded in the flight training and scoring standard. Fuzzy control algorithm was used forintelligent recognition of maneuvers actions in flight training in this system. The problem ofmaneuver identify inaccurate and slow to identify was solved, using techniques of removingsmall perturbation by using filter mark data points and feature extraction. The maneuversactions need to identify include left circle, right circle, left roll, right roll, pitch down, flickhalf roll, hoick, fight curve, loop and half fell.Score the identified maneuvers and display it asa report form referring to scoring criteria. Finally, draw the flight curve of the various featuresfor the coaches to analyze and assess.