Design of Adaptive Inversion Control for a Hypersonic Vehicle

被引：0
|
作者：
Zhao Si-yuan [1 ]
Li Xiao-bing [2 ]
He Yang-guang [1 ]
Li Xing-ge [1 ]
机构：
[1] Air Force Engn Univ, Grad Coll, Xian 710051, Shaanxi, Peoples R China
[2] Air Force Engn Univ, Air & Missile Def Coll, Xian 710051, Shaanxi, Peoples R China
来源：
PROCEEDINGS OF 2018 IEEE 3RD ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC 2018) | 2018年
基金：
中国国家自然科学基金;
关键词：
hypersonic vehicle; RBF neural network; adaptive signal; dynamic inversion;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A dynamic neural adaptive inversion control is designed for flexible hypersonic vehicles with the characters of nonlinearity, strong couplings and parameters uncertainties. Firstly, an inverse controller is designed for hypersonic vehicle longitudinal mode, engine throttle setting and elevator declination as control inputs, then introduce adaptive signals as inverse control signal components. Secondly, the dynamic neural is used to reconstruct the inverse error and the stability and robustness of the system's influence on the uncertainty are guaranteed while ensuring the approximation performance. Finally, the controller stability is analyzed. Simulation is conducted under trimmed cruise conditions. The effectiveness and feasibility of the control method are verified by the results of simulation.
引用
收藏
页码：1829 / 1834
页数：6
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