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T-S Fuzzy Modelling and H-infinity Attitude Control for Hypersonic Gliding Vehicles

机译:高超声速滑行飞行器的T-S模糊建模和H无限姿态控制

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摘要

This paper addresses the T-S fuzzy modelling and H-infinity attitude control in three channels for hypersonic gliding vehicles (HGVs). First, the control-oriented affine nonlinear model has been established which is transformed from the reentry dynamics. Then, based on Taylor's expansion approach and the fuzzy linearization approach, the homogeneous T-S local modelling technique for HGVs is proposed. Given the approximation accuracy and controller design complexity, appropriate fuzzy premise variables and operating points of interest are selected to construct the T-S homogeneous submodels. With so-called fuzzy blending, the original plant is transformed into the overall T-S fuzzy model with disturbance. By utilizing Lyapunov functional approach, a state feedback fuzzy controller has been designed based on relaxed linear matrix inequality (LMI) conditions to stable the original plants with a prescribed H-infinity performance of disturbance. Finally, numerical simulations are performed to demonstrate the effectiveness of the proposed H-infinity T-S fuzzy controller for the original attitude dynamics; the superiority of the designed T-S fuzzy controller compared with other local controllers based on the constructed fuzzy model is shown as well.
机译:本文讨论了高超声速滑行车(HGV)在三个通道中的T-S模糊建模和H无限姿态控制。首先,建立了基于控制的仿射非线性模型,该模型是从重入动力学转变而来的。然后,基于泰勒展开法和模糊线性化方法,提出了HGVs的均匀T-S局部建模技术。给定近似精度和控制器设计复杂度,选择适当的模糊前提变量和感兴趣的工作点来构建T-S齐次子模型。通过所谓的模糊混合,原始植物被转化为带有干扰的总体T-S模糊模型。通过使用Lyapunov函数方法,已经基于松弛线性矩阵不等式(LMI)条件设计了状态反馈模糊控制器,以稳定具有规定H-无穷大扰动性能的原始植物。最后,进行了数值模拟,以证明所提出的H-infinity T-S模糊控制器对于原始姿态动力学的有效性。并显示了所设计的T-S模糊控制器与其他基于所构建的模糊模型的局部控制器相比的优越性。

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  • 来源
    《Mathematical Problems in Engineering》 |2017年第2017期|6574527.1-6574527.14|共14页
  • 作者单位

    Harbin Inst Technol, Control Sci & Control Engn, Harbin 150000, Peoples R China;

    Harbin Inst Technol, Control Sci & Control Engn, Harbin 150000, Peoples R China;

    Lappeenranta Univ Technol, Machine Vis & Pattern Recognit Lab, Lappeenranta 53851, Finland;

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