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应用科学学报 ›› 2010, Vol. 28 ›› Issue (1): 95-98.

• 控制与系统 • 上一篇    下一篇

机翼摇滚自适应神经网络抑制

袁锁中   

  1. 南京航空航天大学自动化学院，南京210016
  • 收稿日期:2009-09-01 修回日期:2009-11-25 出版日期:2010-01-20 发布日期:2010-01-20
  • 作者简介:袁锁中，副研究员，研究方向：飞行器控制与仿真、计算机控制，E-mail: szyuan@nuaa.edu.cn

Suppression of Wing Rock with Adaptive Neural Control

YUAN Suo-zhong   

  1. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics,Nanjing 210016，China
  • Received:2009-09-01 Revised:2009-11-25 Online:2010-01-20 Published:2010-01-20

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1718

被引次数

4

摘要：

 针对战斗机在大迎角下表现出的机翼摇滚非线性振荡现象，提出一种基于自适应神经网络的抑制机翼摇滚控制方案. 采用动态逆方法实现机翼摇滚特性的近似线性化，并根据动态性能指标要求设计线性补偿器，采用单隐层神经网络在线补偿近似动态逆引起的误差. 仿真实验验证了控制方法的有效性.

关键词: 机翼摇滚, 自适应控制, 非线性控制, 单隐层神经网络, 飞行控制

Abstract:

We propose to control the nonlinear wing rock motion of fighter aircraft using an adaptive nonlinear control strategy based on neural networks. An approximate dynamic inversion method is used to linearize the dynamics of wing rock. A linear controller is designed to stabilize the error dynamics. An adaptive neural network is used to cancel the inversion error. Simulation results of a slender delta wing combat aircraft model
at different angle of attack show that the control design can effectively suppress wing rock.

Key words: wing rock, adaptive control, nonlinear control, single hidden layer neural network, flight control

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