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首页> 外文期刊>International Journal of Modelling, Identification and Control >Neural network-based robust control for hypersonic flight vehicle with uncertainty modelling
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Neural network-based robust control for hypersonic flight vehicle with uncertainty modelling

机译：基于神经网络的高超声速飞行器鲁棒控制的不确定性建模

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摘要

Aerodynamic parameters of hypersonic flight vehicle are extremely sensitive to flight condition for its high flight velocity. These usually make the model parameters vary in large range and normal robust control method invalid. This paper evaluates the model uncertainties by traversing the variation values of the flight states. Neural network control is introduced to eliminate the large variations of the model parameters and neural network-based robust controller is designed to realise the tracking control of hypersonic flight vehicle. The simulation results demonstrate the validity of the proposed approach.
机译：高超声速飞行器的空气动力学参数因其高飞行速度而对飞行条件极为敏感。这些通常会使模型参数在较大范围内变化，并且正常的鲁棒控制方法无效。本文通过遍历飞行状态的变化值来评估模型不确定性。引入了神经网络控制以消除模型参数的较大变化，设计了基于神经网络的鲁棒控制器来实现高超音速飞行器的跟踪控制。仿真结果证明了该方法的有效性。

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    Yenan Hu; Fuchun Sun; Huaping Liu;

  • 作者单位

    State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China;

    State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China;

    State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China;

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  • 正文语种 eng
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  • 关键词

    hypersonic flight vehicle; HFV; model uncertainty; neural network control; tracking control;

    机译：高超音速飞行器;HFV;模型不确定性神经网络控制;追踪控制;

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