Trajectory Planning and Adaptive Control architecture for increasing autonomy of UCAV in strike missions

Chang Qing Wang, Hong Shi Lu, Yang Shu, Ai Jun Li, Rooh Ul Amin

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

The Autonomous Trajectory Planning and Adaptive Control (ATPAC) architecture is proposed in this paper to achieve UCAV autonomous navigation during strike mission with unknown threats. The ATPAC architecture is consisted of a navigation module and a flight control module. The navigation module is implemented by policy-gradient learning algorithm coupled with expectant direction search (EDS) strategy which is introduced in this paper. The flight control module implemented by Structure Adaptive Model Inverse (SAMI) algorithm, which can cope with significant parameter uncertainties of the vehicle's mathematic model and maintain adequate flight performance of the vehicle. Combat scenario is presented to test the performance of the ATPAC architecture for a UCAV.

源语言英语
主期刊名CGNCC 2016 - 2016 IEEE Chinese Guidance, Navigation and Control Conference
出版商Institute of Electrical and Electronics Engineers Inc.
103-109
页数7
ISBN(电子版)9781467383189
DOI
出版状态已出版 - 20 1月 2017
活动7th IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2016 - Nanjing, Jiangsu, 中国
期限: 12 8月 201614 8月 2016

出版系列

姓名CGNCC 2016 - 2016 IEEE Chinese Guidance, Navigation and Control Conference

会议

会议7th IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2016
国家/地区中国
Nanjing, Jiangsu
时期12/08/1614/08/16

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