[1]吴雨珊,江驹,甄子洋,等.基于回馈递推的可变翼高超声速飞行器智能非线性控制[J].哈尔滨工程大学学报,2016,37(07):963-968.[doi:10.11990/jheu.201503009]
 WU Yushan,JIANG Ju,ZHEN Ziyang,et al.Intelligent nonlinear control for the hypersonic morphing vehicle based on the backstepping method[J].hebgcdxxb,2016,37(07):963-968.[doi:10.11990/jheu.201503009]
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基于回馈递推的可变翼高超声速飞行器智能非线性控制(/HTML)
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《哈尔滨工程大学学报》[ISSN:1006-6977/CN:61-1281/TN]

卷:
37
期数:
2016年07期
页码:
963-968
栏目:
出版日期:
2016-07-12

文章信息/Info

Title:
Intelligent nonlinear control for the hypersonic morphing vehicle based on the backstepping method
作者:
吴雨珊 江驹 甄子洋 顾臣风
南京航空航天大学 自动化学院, 江苏 南京 210016
Author(s):
WU Yushan JIANG Ju ZHEN Ziyang GU Chenfeng
College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
关键词:
可变翼高超声速飞行器回馈递推RBF神经网络动态面鲁棒性能微分膨胀
分类号:
V249
DOI:
10.11990/jheu.201503009
文献标志码:
A
摘要:
针对可变翼高超声速飞行器的外环稳定跟踪控制问题,考虑可变翼对建模的影响、模型参数不确定和外界未知干扰对跟踪控制性能的影响,提出基于回馈递推的智能非线性控制策略。本文首先利用巡航段气动参数的插值数据建立精确的纵向模型;然后采用输入-输出反馈线性化方法对飞行器纵向模型进行非线性映射,并根据状态变量特性将飞行器划分为三个子系统,利用回馈递推依次求取控制信号,采用RBF神经网络对未知干扰进行逼近,保证鲁棒性能。针对回馈递推设计过程中微分膨胀的问题,加入动态面控制思想进行改进。通过仿真表明,该方法可以保证闭环系统的全局稳定,并且拥有良好的跟踪性能和鲁棒性能。

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2015-3-5;改回日期:。
基金项目:国家自然科学基金项目(61304223);教育部高等学校博士科学点专项科研基金项目(20123218120015);南京航空航天大学研究生创新基地(实验室)开发基金项目(kfjj201420)
作者简介:吴雨珊(1990-),女,硕士研究生;江驹(1963-),男,教授,博士生导师;甄子洋(1981-),男,副教授
通讯作者:吴雨珊,E-mail:wysh219959@126.com
更新日期/Last Update: 2016-07-13