RBF neural network-based sliding mode control for a ballistic missile

Hongchao Zhao; Wenjin Gu; Ruchuan Zhang

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RBF neural network-based sliding mode control for a ballistic missile

机译：基于RBF神经网络的弹道导弹滑模控制

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In this paper, the non-linear models for the three channels of a ballistic missile are analysed. The coupled terms are taken as additional disturbances for every single channel, in order to realise the independent design for every channel and to simplify the structure of the control system. An RBF neural network-based sliding mode controller is designed for every channel's thrust vector control system of the ballistic missile. For the controller, the RBF neural network modifies the parameter of the sliding mode controller to approximate the lumped uncertainty. The performance of the designed RBF neural network-based sliding mode controller is compared with that of the conventional PID controller in the numerical simulation, and its effectiveness is demonstrated by the simulation results.

机译：本文对弹道导弹三个通道的非线性模型进行了分析。耦合项被视为每个通道的附加干扰，以实现每个通道的独立设计并简化控制系统的结构。针对弹道导弹各通道的推力矢量控制系统设计了基于RBF神经网络的滑模控制器。对于控制器，RBF神经网络会修改滑模控制器的参数以近似集总不确定性。在数值模拟中将设计的基于RBF神经网络的滑模控制器的性能与常规PID控制器的性能进行了比较，并通过仿真结果证明了其有效性。

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来源
《International Journal of Modelling, Identification and Control》 |2009年第2期|107-113|共7页
作者
Hongchao Zhao; Wenjin Gu; Ruchuan Zhang;
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作者单位

Department of Strategic Missile Engineering,Naval Aeronautical and Astronautical University,No. 188, Erma Road, Yantai City,Shandong Province, 264001 P.R. China;

Department of Control Engineering,Naval Aeronautical and Astronautical University,No. 188, Erma Road, Yantai City,Shandong Province, 264001 P.R. China;

Graduate Students' Brigade,Naval Aeronautical and Astronautical University,No. 188, Erma Road, Yantai City,Shandong Province, 264001 P.R. China;

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正文语种 eng
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关键词
ballistic missile; radial basis function; RBF neural network; sliding mode control; SMC; thrust vector control; TVC;

机译：弹道式导弹;径向基函数RBF神经网络;滑模控制;SMC;推力矢量控制TVC;

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RBF neural network-based sliding mode control for a ballistic missile

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