Nonlinear Tracking Control of Hypersonic Flight Vehicle Subjected to Hyperbolic Zero Dynamics via output regulation Theorem

被引:0
作者
Ji, Yuehui [1 ]
Zhou, Hailiang [2 ]
机构
[1] Tianjin Univ Technol, Sch Elect Engn, Tianjin 300384, Peoples R China
[2] TIMST, Tianjin 300192, Peoples R China
来源
PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017) | 2017年
基金
中国国家自然科学基金;
关键词
Flight tracking Control; Hypersonic Flight Vehicle; Hyperbolic Zero Dynamics; Nonlinear Output Regulation;
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
The standard output regulation theorem is utilized to construct a nonlinear flight tracking controller for a hypersonic vehicle in presence of non-minimum phase dynamic in the paper. When the elevator is chosen as the only control surface, the hypersonic vehicle model exhibits unstable hyperbolic zero-dynamics, preventing the application of standard inversion-based control technique. The standard nonlinear output regulation theory is introduced to design a flight controller, achieving asymptotic tracking of velocity and altitude in a climbing maneuver case. Moreover, a Taylor-expansion-based approximation method is presented to solve the center manifold equation for the output regulation problem. Finally, Numerical simulations in Matlab/Simulation Environment validate the effectiveness of the proposed controller in resisting unstable zero dynamics and providing favorable tracking performance.
引用
收藏
页码:6287 / 6292
页数:6
相关论文
共 16 条
  • [11] Nonlinear fuzzy fault-tolerant control of hypersonic flight vehicle with parametric uncertainty and actuator fault
    Juan Niu
    Fuyang Chen
    Gang Tao
    Nonlinear Dynamics, 2018, 92 : 1299 - 1315
  • [12] Neural Network Modeling-Based Anti-Disturbance Tracking Control for Hypersonic Flight Vehicle Models
    Xu Lubing
    Yi Yang
    Shao Liren
    Zheng Weixing
    PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017), 2017, : 1311 - 1316
  • [13] Global Neural Dynamic Surface Tracking Control of Strict-Feedback Systems With Application to Hypersonic Flight Vehicle
    Xu, Bin
    Yang, Chenguang
    Pan, Yongping
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 26 (10) : 2563 - 2575
  • [14] Phase plane design based fast altitude tracking control for hypersonic flight vehicle with angle of attack constraint
    Liu, Yang
    Dong, Chaoyang
    Zhang, Wenqiang
    Wang, Qing
    CHINESE JOURNAL OF AERONAUTICS, 2021, 34 (02) : 490 - 503
  • [15] Neural network based dynamic surface control of hypersonic flight dynamics using small-gain theorem
    Xu, Bin
    Zhang, Qi
    Pan, Yongping
    NEUROCOMPUTING, 2016, 173 : 690 - 699
  • [16] Quasi-continuous high-order sliding mode control-based fault-tolerant control for hypersonic flight vehicle via neural network observer
    Cheng, Zian
    Chen, Fuyang
    Niu, Juan
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING, 2019, 233 (05) : 1784 - 1800