首页 | 本学科首页   官方微博 | 高级检索  
     

飞机航向神经网络PID参数自整定控制器研究
引用本文:唐永哲. 飞机航向神经网络PID参数自整定控制器研究[J]. 飞机设计, 2004, 0(2): 47-50
作者姓名:唐永哲
作者单位:西北工业大学自动化学院,西安,710072
摘    要:飞机航向操纵的模型参数具有非线性、慢时变特性。飞机航向操纵的传统控制方法的操纵性能不能令人满意。本文讨论一种应用BP神经网络实现PID参数自整定的控制方法。此法能根据飞机动态特性的变化,自动重新整定PID参数,从而改善了飞机航向的操纵性能和鲁棒性。

关 键 词:飞机  航向操纵  操纵性能  鲁棒性  模型参数  PID参数  自整定  神经网络  传统控制  控制器
修稿时间:2004-01-08

Study on Neural Network Based PID Controller for Aircraft Directional Control
Tang Yongzhe. Study on Neural Network Based PID Controller for Aircraft Directional Control[J]. Aircraft Design, 2004, 0(2): 47-50
Authors:Tang Yongzhe
Abstract:Aircraft directional control system are a nonlinear high-order time-variant control system and a conventional controller provides unsatisfactory handling characteristics. In this paper, a neural network based PID parameter self-adjustment is discussed, in that the PID parameters will be re-adjusted from the aircraft dynamics to improve handling characteristics and robustness in directional control.
Keywords:aircraft directional control  rudder  neural network  PID contro1  parameter adjustment  
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号