Volume 22 Issue 6
Jun.  2007
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ZHANG Chun-yu, JIANG Chang-sheng. Robust adaptive fuzzy trajectory linearization control of an aerospace vehicle[J]. Journal of Aerospace Power, 2007, 22(6): 915-922.
Citation: ZHANG Chun-yu, JIANG Chang-sheng. Robust adaptive fuzzy trajectory linearization control of an aerospace vehicle[J]. Journal of Aerospace Power, 2007, 22(6): 915-922.

Robust adaptive fuzzy trajectory linearization control of an aerospace vehicle

  • Received Date: 2006-05-19
  • Rev Recd Date: 2006-10-17
  • Publish Date: 2007-06-28
  • This paper presents a robust adaptive fuzzy trajectory linearization control(RAFTLC) method and its application to an aero-space vehicle(ASV) flight control system.Based on the system's prior knowledge,the nominal fuzzy system is designed to estimate the unknown disturbances and uncertainties.A robust adaptive item is used to overcome the approximate error and weights error of the nominal fuzzy system.The bounds of the approximate error and weights error are adjusted on line.Uniform ultimate boundedness of all the signals of the composite closed-loop system is proved using Lyapunov theory.Finally,the flight control system of an ASV is designed based on the proposed method.Simulation results demonstrate the effectiveness and robustness of the control scheme.

     

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  • [1]
    Liu Y,Wu X,Zhu J.Omni-directional mobile robot controller design by Trajectory Linearization[A].Proceedings of the American Control[C].Denver:2003:3423-3428.
    [2]
    Zhu J J,Banker D,Hall C E.X-33 ascent flight control deign by trajectory linearization-a singular perturbation approach[R].AIAA-2000-4159.
    [3]
    Mickle M C,Zhu J.Bank-to-turn roll-yaw-pitch autopilot design using dynamic nonlinear inversion and PD-eigenvalue assignment[A].Proceedings of the American Control Conference[C].Chicago:2000:1359-1364.
    [4]
    Kim E.A fuzzy disturbance observer and its application to control[J].IEEE Transactions on fuzzy systems,2002,10(1):77-84.
    [5]
    Li H X,Tong S C.A hybrid adaptive fuzzy control for a class of nonlinear MIMO systems[J].IEEE Transactions on Fuzzy Systems,2003,11(1):24-34.
    [6]
    Vélez-Díaz D,Tang Y.Adaptive robust fuzzy control of nonlinear systems[J].IEEE Transactions on Systems,Man,and Cybernetics-Part B:Cybernetics,2004,34(3):1596-1601.
    [7]
    Barmish B R,Leimann G.On ultimate boundedness control of uncertain systems in the absence of matching assumptions[J].IEEE Trans.on Automatic Control,1982,27:153-158.
    [8]
    Kahlil H K.Nonlinear systems[M].2nd ed.Prentice-Hall,Upper Saddle River,N J,1996.
    [9]
    王立新.自适应模糊系统与控制-设计与稳定性分析[M].北京:国防工业出版社,1995.WANG Lixin.Adaptive fuzzy system and control-design and stability analysis[M].Beijing:National Defence Industry Press,1995.
    [10]
    郑大钟.线性系统理论[M].第2版.北京:清华大学出版社,2002.ZHENG Dazhong.Linear system theory[M].2nd ed.Beijing:Tsinghua University Press,2002.
    [11]
    Shaughnessy J D,Pinckney S Z,McMinn J D,et al.Hypersonic vehicle simulation model:winged-cone configuration[R].NASA TM-102610,1990.
    [12]
    Snell S A.Nonlinear dynamic inverse flight control of supermaneuverale aircraft[D].University of Minnesota,1991.
    [13]
    Zhu J J.A unified spectral theory for linear time-varying systems-progress and challenges[A].Proc.of 34th IEEE Conf.on Decision & Control[C].New Orleans:1995:2540-2546.
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