Adaptive functional link network control of near-space vehicles with dynamical uncertainties

被引:28
作者
Du, Yanli [1 ]
Wu, Qingxian [1 ]
Jiang, Changsheng [1 ]
Wen, Jie [1 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing 210016, Peoples R China
基金
中国国家自然科学基金;
关键词
adaptive control system; dynamical uncertainties; partially feedback functional link network; near-space vehicle;
D O I
10.3969/j.issn.1004-4132.2010.05.022
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 control law design for a near-space hypersonic vehicle (NHV) is highly challenging due to its inherent nonlinearity, plant uncertainties and sensitivity to disturbances. This paper presents a novel functional link network (FLN) control method for an NHV with dynamical thrust and parameter uncertainties. The approach devises a new partially-feedback-functional-link-network (PFFLN) adaptive law and combines it with the nonlinear generalized predictive control (NGPC) algorithm. The PFFLN is employed for approximating uncertainties in flight. Its weights are online tuned based on Lyapunov stability theorem for the first time. The learning process does not need any offline training phase. Additionally, a robust controller with an adaptive gain is designed to offset the approximation error. Finally, simulation results show a satisfactory performance for the NHV attitude tracking, and also illustrate the controller's robustness.
引用
收藏
页码:868 / 876
页数:9
相关论文
共 18 条
  • [1] C FHSU, 2009, NEURAL COMPUT APPL, V18, P115
  • [2] [陈云霞 Chen Yunxia], 2004, [北京航空航天大学学报, Journal of Beijing University of Aeronautics and Astronautics], V30, P143
  • [3] F J, 2008, CONTROL */* FREQUENC, V55, P183
  • [4] Multivariable continuous-time generalised predictive control: A state-space approach to linear and nonlinear systems
    Gawthrop, PJ
    Demircioglu, H
    Siller-Alcala, II
    [J]. IEE PROCEEDINGS-CONTROL THEORY AND APPLICATIONS, 1998, 145 (03): : 241 - 250
  • [5] H XUM, 2004, Dynamics, V27, P829
  • [6] Janardanan J., 2006, P 14 AIAA AHI SPAC P, P1
  • [7] K A, 2005, CYBERNETICS, V35, P357
  • [8] K P, 2008, SYSTEMS TECHNOLOGY *, V16, P753
  • [9] Keshmiri S., 2004, P AIAA MOD SIM TECHN, P1
  • [10] Khalil H., 2002, Control of Nonlinear Systems