A General Framework for Flight Maneuvers Automatic Recognition

Mathematics

Jing Lu¹  Hongjun Chai²  Ruchun Jia³ 

[1] College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China;College of Computer Science, Civil Aviation Flight University of China, Guanghan 618307, China;Wangjiang Campus, Sichuan University, Chengdu 610065, China;

关键词: Flight Maneuver Recognition (FMR);    unsupervised clustering;    phase space reconstruction;   

DOI  :  10.3390/math10071196

来源: DOAJ

【 摘 要 】

Flight Maneuver Recognition (FMR) refers to the automatic recognition of a series of aircraft flight patterns and is a key technology in many fields. The chaotic nature of its input data and the professional complexity of the identification process make it difficult and expensive to identify, and none of the existing models have general generalization capabilities. A general framework is proposed in this paper, which can be used for all kinds of flight tasks, independent of the aircraft type. We first preprocessed the raw data with unsupervised clustering method, segmented it into maneuver sequences, then reconstructed the sequences in phase space, calculated their approximate entropy, quantitatively characterized the sequence complexity, and distinguished the flight maneuvers. Experiments on a real flight training dataset have shown that the framework can quickly and correctly identify various flight maneuvers for multiple aircraft types with minimal human intervention.

【 授权许可】

Unknown