A journal of IEEE and CAA , publishes high-quality papers in English on original theoretical/experimental research and development in all areas of automation
Advanced Search
Volume 1 Issue 2
Apr.  2014

IEEE/CAA Journal of Automatica Sinica

  • JCR Impact Factor: 15.3, Top 1 (SCI Q1)
    CiteScore: 23.5, Top 2% (Q1)
    Google Scholar h5-index: 77， TOP 5
Turn off MathJax
Article Contents
Article Navigation >  IEEE/CAA Journal of Automatica Sinica  > 2014  >  1(2): 155-161
Ruimin Zhang, Lu Dong and Changyin Sun, "Adaptive Nonsingular Terminal Sliding Mode Control Design for Near Space Hypersonic Vehicles," IEEE/CAA J. of Autom. Sinica, vol. 1, no. 2, pp. 155-161, 2014.
Citation: Ruimin Zhang, Lu Dong and Changyin Sun, "Adaptive Nonsingular Terminal Sliding Mode Control Design for Near Space Hypersonic Vehicles," IEEE/CAA J. of Autom. Sinica, vol. 1, no. 2, pp. 155-161, 2014.
shu

Adaptive Nonsingular Terminal Sliding Mode Control Design for Near Space Hypersonic Vehicles

  • 1. School of Automation, Southeast University, Nanjing 210096, China;

  • 2. School of Mathematics & Statistics, Henan University of Science & Technology, Luoyang 471003, China;

  • 3. School of Automation, Southeast University, Nanjing 210096, China

Funds:

This work was supported by National Outstanding Youth Science Foundation (61125306), National Natural Science Foundation of Major Research Plan (91016004, 61034002), Specialized Research Fund for the Doctoral Program of Higher Education of China (20110092110020).

    Abstract
  • This paper presents an adaptive nonsingular terminal sliding mode approach for the attitude control of near space hypersonic vehicles (NSHV) in the presence of parameter uncertainties and external disturbances. Firstly, a novel nonsingular terminal sliding surface is developed and its finitetime convergence is analyzed. Then, an adaptive nonsingular terminal sliding mode control law is proposed, which is chattering free. In the proposed approach, all parameter uncertainties and external disturbances are lumped into one term, which is estimated by an adaptive uncertainty estimation for eliminating the boundary requirement needed in the conventional control design. Subsequently, stability of the closed-loop system is proven based on Lyapunov theory. Finally, the proposed approach is applied to the attitude control design for NSHV. Simulation results show that the proposed approach attains a satisfactory performance in the presence of parameter uncertainties and external disturbances.

     

    • FullText(HTML)
  • loading
    • References(34)
  • [1]
    Chen Zong-Ji, Zhang Ru-Lin, Zhang Ping, Zhou Rui. Flight control:challenges and opportunities. Acta Automatica Sinica, 2013, 39(6):703-710(in Chinese)
    [2]
    Bao Wei-Min. Present situation and development tendency of aerospace control techniques. Acta Automatica Sinica, 2013, 39(6):697-702(in Chinese)
    [3]
    Huang Y Q, Sun C Y, Qian C S, Wang L. Slow-fast loop gain-scheduled switching attitude tracking control for a near-space hypersonic vehicle. Proceedings of the Institution of Mechanical Engineers. Part I:Journal of Systems and Control Engineering, 2013, 227(1):96-109
    [4]
    Huang Y Q, Sun C Y, Qian C S, Wang L. Polytopic LPV modeling and gain-scheduled switching control for a flexible air-breathing hypersonic vehicle. Journal of Systems Engineering and Electronics, 2013, 24(1):118-127
    [5]
    Huang Y Q, Sun C Y, Qian C S, Wang L. Non-fragile switching tracking control for a flexible air-breathing hypersonic vehicle based on polytopic LPV Model. Chinese Journal of Aeronautics, 2013, 26(4):948-959
    [6]
    da Costa R R, Chu Q P, Mulder J A. Reentry flight controller design using nonlinear dynamic inversion. Journal of Spacecraft and Rockets, 2003, 40(1):64-71
    [7]
    Li Jing-Jing, Ren Zhang, Qu Xin. Design of active disturbance rejection backstepping attitude controller for maneuvering glide vehicles. Journal of Systems Engineering and Electronics, 2010, 32(8):1711-1715(in Chinese)
    [8]
    Chen M, Jiang B. Robust attitude control of near space vehicles with time-varying disturbances. International Journal of Control, Automation and Systems, 2013, 11(1):182-187
    [9]
    Zhang J M, Sun C Y, Huang Y Q. DSC-backstepping based robust adaptive LS-SVM control for near-space vehicle's reentry attitude. International Journal of Intelligent Computing and Cybernetics, 2012, 5(3):381-400
    [10]
    van Soest W R, Chu Q P, Mulder J A. Combined feedback linearization and constrained model predictive control for entry flight. Journal of Guidance, Control, and Dynamics, 2006, 29(2):427-434
    [11]
    Du Y L, Wu Q X, Jiang C S, Xue Y L. Adaptive recurrent functional link network control for hypersonic vehicle with atmospheric disturbances. Science China Information Sciences, 2011, 54(3):482-497
    [12]
    Wang P, Tang G J, Liu L H, Wu J. Nonlinear hierarchy-structured predictive control design for a generic hypersonic vehicle. Science China Technological Sciences, 2013, 56(8):2025-2036
    [13]
    Ning Guo-Dong, Zhang Shu-Guang, Fang Zhen-Ping. Entry control using sliding modes and state observer synthesis for reusable launch vehicle. Journal of Astronautics, 2007, 28(1):69-76(in Chinese)
    [14]
    Xu H J, Mirmirani M, Ioannou P A. Adaptive sliding mode control design for a hypersonic flight vehicle. Journal of Guidance, Control, and Dynamics, 2004, 27(5):829-838
    [15]
    Li Jing-Jing, Ren Zhang, Song Jian-Shuang. Fuzzy sliding mode control for hypersonic reentry vehicles. Journal of Shanghai Jiaotong University, 2011, 45(2):295-300(in Chinese)
    [16]
    Wu S F, Engelen C J, Babuska R, Chu Q P, Mulder J A. Fuzzy logic based full envelope autonomous flight control for an atmospheric reentry spacecraft. Control Engineering Practice, 2003, 11(1):11-25
    [17]
    Shtessel Y, Mcduffle J. Sliding mode control of the X-33 vehicle in launch and re-entry modes. In:Proceedings of the 1998 AIAA Guidance, Navigation, and Control Conference. Reston, VA:AIAA, 1998. 1352-1362
    [18]
    Durmaz B, Ozgoren M K, Salamci M U. Sliding mode control for nonlinear systems with adaptive sliding surface. Transactions of the Institute of Measurement and Control, 2012, 34(1):56-90
    [19]
    Yu X H, Man Z H. On finite time mechanism:terminal sliding modes. In:Proceedings of IEEE International Workshop on Variable Structure Systems. Tokyo, Japan:IEEE, 1996. 164-167
    [20]
    Feng Y, Yu X H, Man Z H. Nonsingular terminal sliding mode control of rigid manipulators. Automatica, 2002, 38(12):2159-2167
    [21]
    Feng Y, Bao S, Yu X H. Inverse dynamics nonsingular terminal sliding mode control of two-link flexible manipulators. International Journal of Robotics and Automation, 2004, 19(3):91-102
    [22]
    Aghababa M P, Khanmohammadi S, Alizadeh G. Finite time synchronization of two different chaotic systems with unknown parameters via sliding mode technique. Applied Mathematical Modelling, 2011, 35(6):3080-3091
    [23]
    Huang Guo-Yong, Jiang Chang-Sheng, Wang Yu-Hui. Robust terminal sliding mode control for ASV reentry mode. Systems Engineering and Electronics, 2008, 30(2):304-307(in Chinese)
    [24]
    Slotine J, Li W. Applied Nonlinear Control. New Jersey:Prentice Hall, 1991. 290-292
    [25]
    Levant A. Sliding order and sliding accuracy in sliding mode control. International Journal of Control, 1993, 58(6):1247-1263
    [26]
    Yu S H, Yu X H, Shirinzadeh B, Man Z H. Continuous finite-time control for robotic manipulators with terminal sliding mode. Automatica, 2005, 41(11):1957-1964
    [27]
    Zhang R M, Sun C Y, Zhang J M, Zhou Y J. Second order terminal sliding mode control for hypersonic vehicle in cruising flight with sliding mode disturbance observer. Journal of Control Theory and Applications, 2013, 11(2):299-305
    [28]
    Zhang R M, Wang L, Zhou Y J. On-line RNN compensated second order nonsingular terminal sliding mode control for hypersonic vehicle. International Journal of Intelligent Computing and Cybernetics, 2012, 5(2):186-205
    [29]
    Pu Ming, Wu Qing-Xian, Jiang Chang-Sheng, Cheng Lu. Adaptive second order dynamic sliding mode control based on fuzzy disturbance observer. Journal of Control Theory and Applications, 2011, 28(6):805-812(in Chinese)
    [30]
    Zeinali M, Notash L. Adaptive sliding mode control with uncertainty estimator for robot manipulators. Journal of Mechanism and Machine Theory, 2010, 45(1):80-90
    [31]
    Bhat S P, Bernstein D S. Finite-time stability of continuous autonomous systems. SIAM Journal on Control and Optimization, 2000, 38(3):751-766
    [32]
    Parsegov S, Polyakov A. Nonlinear fixed-time control protocol for uniform allocation of agents on a segment. In:Proceedings of the 51st IEEE Annual Conference on Decision and Control. Maui, HI:IEEE, 2012. 7732-7737
    [33]
    Keshmiri S, Mirmirani M D. Six-DOF modeling and simulation of a generic hypersonic vehicle for conceptual design studies. In:Proceedings of the 2004 AIAA Modeling and Simulation Technologies Conference. Providence, Rhode Island:AIAA, 2004. 2004-4805
    [34]
    Gao Z F, Jiang B, Qi R Y, Yu Y. Robust reliable control for a near space vehicle with parametric uncertainties and actuator faults. International Journal of System Science, 2011, 42(12):2113-2124
    • Related Articles
    • Supplements(0)

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF
    XML

    Article Metrics

    Article views (1267) PDF downloads(19) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return