Application of model-following adaptive neural network control theory in gust load alleviation

Rui Nie, Weiguo Zhang, Guangwen Li, Xiaoxiong Liu

科研成果: 书/报告/会议事项章节会议稿件同行评审

4 引用 (Scopus)

摘要

Based on the model-following adaptive neural network control theory, a gust load alleviation controller for civil airplanes by direct force control is proposed. For Dryden power spectral density function, the rational spectral theory is used to set up the linear state-space model of the vertical gust. The effects of gust to aircraft are considered to develop the synthesized system model of aircraft and gust. Simulation results show that the gust load alleviation control system based on neural network control theory can obtain good robust stability and the capability of restraining gust turbulence and measurement noises can be obtained by using the method in this paper.

源语言英语
主期刊名Proceedings of the 2009 IEEE International Conference on Automation and Logistics, ICAL 2009
389-393
页数5
DOI
出版状态已出版 - 2009
活动2009 IEEE International Conference on Automation and Logistics, ICAL 2009 - Shenyang, 中国
期限: 5 8月 20097 8月 2009

出版系列

姓名Proceedings of the 2009 IEEE International Conference on Automation and Logistics, ICAL 2009

会议

会议2009 IEEE International Conference on Automation and Logistics, ICAL 2009
国家/地区中国
Shenyang
时期5/08/097/08/09

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