Model Reference Adaptive Control of a Quadrotor UAV based on RBF Neural Networks

被引：0
|
作者：
Liu, Mengqian [1 ]
Dong, Xiwang [1 ]
Li, Qingdong [1 ]
Ren, Zhang [1 ]
机构：
[1] Beihang Univ, Sch Automat Sci & Elect Engn, Sci & Technol Aircraft Control Lab, Beijing 100191, Peoples R China
来源：
2018 IEEE CSAA GUIDANCE, NAVIGATION AND CONTROL CONFERENCE (CGNCC) | 2018年
关键词：
DESIGN;
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：
In this paper, a model reference control method based on RBF neural networks is applied to attitude control of quadrotor. The model of a quadrotor is constructed and simplified to obtain the reference model in the same order as the plant. The RBF is trained by using the gradient descent method. Through simulation experiments, MRAC based on RBF has presented good tracking performance on the nonlinear quadrotor system with unknown and changing parameters.
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页数：6
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