Journal of Systems Engineering and Electronics ›› 2009, Vol. 31 ›› Issue (12): 2954-2957.

• 制导、导航与控制 • 上一篇    下一篇

基于大脑情感学习的推力矢量无人机姿态控制

黄国勇,王道波,甄子洋   

  1. 南京航空航天大学自动化学院, 江苏 南京 210016
  • 出版日期:2009-12-24 发布日期:2010-01-03

Attitude control of thrust vectoring unmanned aerial vehicle based on brain emotional learning

HUANG Guo-yong,WANG Dao-bo,ZHEN Zi-yang   

  1. Coll. of Automation Engineering, Nanjing Univ. of Aeronautics and Astronautics, Nanjing 210016, China
  • Online:2009-12-24 Published:2010-01-03

摘要:

建立了与普通无人机相区别的带推力矢量的无人机数学模型,并提出了一种基于大脑情感学习(brain emotion learning, BEL)的推力矢量无人机姿态控制方法。首先设计了气动控制器和近似推力矢量控制器,然后设计了基于BEL算法的推力矢量控制补偿器。对无人机全量模型进行非线性数值仿真,结果验证了所建立的数学模型的正确性、推力矢量技术在无人机姿态控制上的特定优势以及BEL智能方法的自学习、自适应能力。

Abstract:

A mathematical model of a unmanned aerial vehicle  with the thrust vectoring technology (UAV), which differs from the general model, is established. A new attitude control method of the UAV with the thrust vectoring technology based on a brain emotional learning (BEL) algorithm is presented. A pneumaticrudder controller and a thrust vectoring controller are designed, respectively. Furthermore, a BEL algorithm based compensator of the thrust vectoring controller is derived. Nonlinear numerical simulation of a UAV whole model is implemented, the results show the correctness of the model, the particular advantages of the thrust vectoring technology in application of UAV attitude control and the selflearning adaptive ability of the BEL intelligent method.