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T-S Fuzzy Model Based Control Strategy for the Networked Suspension Control System of Maglev Train

机译：基于T-S模糊模型的磁悬浮列车网络悬挂控制系统控制策略

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摘要

The control problem for the networked suspension control system of maglev train with random induced time delay and packet dropouts is investigated. First, Takagi-Sugeno (T-S) fuzzy models are utilized to represent the discrete-time nonlinear networked suspension control system, and the parameters uncertainties of the nonlinear model have also been taken into account. The controllers take the form of parallel distributed compensation. Then, a sufficient condition for the stability of the networked suspension control system is derived. Based on the criteria, the state feedback fuzzy controllers are obtained, and the controller gains can be computed by using MATLAB LMI Toolbox directly. Finally, both the numerical simulations and physical experiments on the full-scale single bogie of CMS-04 maglev train have been accomplished to demonstrate the effectiveness of this proposed method.
机译：研究了磁悬浮列车网络悬浮控制系统的随机诱导时滞和丢包问题。首先，以高木-Sugeno（T-S）模糊模型表示离散时间非线性网络悬挂控制系统，并考虑了非线性模型的参数不确定性。控制器采用并行分布式补偿的形式。然后，得出网络悬架控制系统稳定性的充分条件。根据这些准则，可以获得状态反馈模糊控制器，并且可以直接使用MATLAB LMI Toolbox来计算控制器增益。最后，通过对CMS-04磁悬浮列车全尺寸转向架的数值模拟和物理实验，验证了该方法的有效性。

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  • 来源
    《Mathematical Problems in Engineering》 |2015年第2期|291702.1-291702.11|共11页
  • 作者

    He Guang; Li Jie; Cui Peng; Li Yun;

  • 作者单位

    Natl Univ Def Technol, Coll Mechatron Engn & Automat, Changsha 410073, Hunan, Peoples R China.;

    Natl Univ Def Technol, Coll Mechatron Engn & Automat, Changsha 410073, Hunan, Peoples R China.;

    Natl Univ Def Technol, Coll Mechatron Engn & Automat, Changsha 410073, Hunan, Peoples R China.;

    Natl Univ Def Technol, Coll Mechatron Engn & Automat, Changsha 410073, Hunan, Peoples R China.;

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