Event-Triggered Neural Adaptive Control for a Switched Model of Hypersonic Flight Vehicle

被引：0
|
作者：
Feng, Yanqi [1 ]
Wang, Guan [1 ]
Ding, Huanyu [2 ]
Jiang, Hongcao [3 ]
机构：
[1] Harbin Inst Technol, Harbin 150001, Peoples R China
[2] Shanghai Inst Spaceflight Control Technol, Shanghai 201109, Peoples R China
[3] Beijing Elect Mech Engn Inst, Beijing 100074, Peoples R China
来源：
2022 34TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC | 2022年
关键词：
Hypersonic Flight Vehicle; Switched Model; Event-Triggered; Command Filter; Neural Adaptive; CONTROL DESIGN;
D O I：
10.1109/CCDC55256.2022.10034211
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, the event-triggered neural adaptive control for the hypersonic flight vehicle (HFV) with a switched model is investigated. The switched model uncertainty is handled utilizing the neural networks (NNs) control. Using the event-triggered mechanism, drastic changes of control signal caused by the switched model are avoided. To avoid the 'explosion of complexity' and get the fast-tracking performance, the command filter is employed to construct the backstepping control framework. Comparative simulations illustrate the effectiveness of the proposed strategy.
引用
收藏
页码：3265 / 3270
页数：6
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