Predictive Guidance Scheme with NAR Neural Network for Autonomous Aerial Refueling

Yufei Ma, Dongli Yuan, Jianguo Yan, Yaohong Qu

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

In order to improve the passive tracking situation of receiver aircraft for drogue during the docking phase of AAR (autonomous aerial refueling), a strategy of AAR predictive guidance scheme based on NAR (Nonlinear Auto Regressive) neural network model is proposed. The NAR neural network model is used to predict the future position of the drogue as the target point of receiver aircraft. The simulation is carried out by Monte Carlo target test. The simulation results indicate that the proposed algorithm possesses high prediction precision and significantly enhances the success rate of AAR, which is of crucial importance in achievement of AAR technique.

源语言英语
主期刊名2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9781538611715
DOI
出版状态已出版 - 8月 2018
活动2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018 - Xiamen, 中国
期限: 10 8月 201812 8月 2018

出版系列

姓名2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018

会议

会议2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018
国家/地区中国
Xiamen
时期10/08/1812/08/18

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