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The longitudinal attitude control of UAV based on GPFN neural network

  • Beijing Institute of Technology

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

At present, more and more applications of Unmanned Aerial Vehicles (UAV) makes the control of UAV to be a hot pot in doing research. In the controlling of UAV, traditional PID controller's parameters are not easily chose and antiinterference ability of the control system is poor. Aiming to improve it, the paper designs a GPFN-PID controller based on GPFN neural network. The controller has the functions of online training, self-training and self-adjusting, which makes the control of UAV longitudinal channel more effective. The simulation results show that both the dynamic characteristics and the anti-interference ability of the control system improve a lot.

源语言英语
主期刊名International Conference on Automatic Control and Artificial Intelligence, ACAI 2012
2146-2149
页数4
版本598 CP
DOI
出版状态已出版 - 2012
活动International Conference on Automatic Control and Artificial Intelligence, ACAI 2012 - Xiamen, 中国
期限: 3 3月 20125 3月 2012

丛书

姓名IET Conference Publications
编号598 CP
2012

会议

会议International Conference on Automatic Control and Artificial Intelligence, ACAI 2012
国家/地区中国
Xiamen
时期3/03/125/03/12

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