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    Abstract:

    Aiming at multi-variable nonlinear flight control system,this paper analyzes the analytical inverse system in theory detailedly. By the tracking principle of neural network, a dynamic neural network is presented, which consist of static neural network and integrators. The paper designs a control method of dynamic inversion with neural network used for multi-variable nonlinear flight control system, and makes simulation of flight control system of power parafoil. Simulation results demonstrate that the control method has strong ability of control and robustness.

    Reference
    1 戴先中.多变量非线性系统的神经网络逆控制.北京: 科学出版社, 2005.
    2 苏丙未,万胜,陈欣,等.一种基于动态逆控制方案在无人机中的应用研究.南京航空航天大学学报, 2000, 32(6):706-710.
    3 Akiko M. Neural Network Based Adaptive Flight Control Using Feedback Error Learning. AIAA 2006-6341.
    4 Shin DH, Kim Y. Nonlinear discrete-time reconfigurable flight control law using neural networks. IEEE Control Systems, 2006.408-422.
    5 Williams P. Selected Flight Test Results for Online Learning Neural Network-Based Flight Control System,AIAA2004-6283.
    6 Bevacqua T, Best E. A Improved trajectory linearization flight controller for reusable launch vehicles. The 42nd AIAA Aerospace Sciences Meeting and Exhibit, Jan. 5-8, 2004, Nevada, USA.
    7 Fola S. Neural Network Applications in Advanced Aircraft Flight Control System, a Hybrid System, a Flight Test Demonstration. AIAA 2007-2943.
    8 Sleger N, Costello M. Model predictive control of a parafoil and payload system. AIAA 2004-4822.
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钱克昌,陈自力,李建.多变量非线性飞行控制系统的神经网络动态逆控制方法.计算机系统应用,2010,19(11):56-59

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  • Received:March 15,2010
  • Revised:April 22,2010
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