城轨列车悬挂系统显遗传自适应模糊控制
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TH113.1; TP273.4; U270.11

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甘肃省科技支撑计划资助项目(1604GKCA003);甘肃省青年科技基金资助项目(1610RJYA036);兰州交通大学青年基金资助项目(2014017);兰州交通大学青年科学基金资助项目(2015020)


Genetically Adaptive Fuzzy Control of Urban Rail Train Suspension System
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    摘要:

    为有效抑制城轨车辆行驶时悬挂系统出现的横向振动,提升车辆平稳性与舒适度,引入调控效果优于传统模糊控制的显遗传自适应模糊控制方法,扩展其收敛条件并证明其适用于城轨列车悬挂系统,扩大了该方法的使用范围。在Matlab/Simulation中根据时速为80 km/h的某型城轨列车参数搭建车辆悬挂系统模型,并设计了显遗传自适应模糊控制器。仿真实验结果表明,显遗传自适应模糊控制对城轨列车悬挂系统横向振动抑制效果良好,在其控制下列车横向合成加速度、横移振动加速度、侧滚振动加速度以及摇头振动加速度的最大值、均方根值以及功率谱密度值均有所降低。与普通模糊控制相比,显遗传自适应模糊控制能够有效抑制城轨列车横向振动,大幅度提高乘客舒适度。

    Abstract:

    In order to effectively suppress the lateral vibration of the suspension system when urban rail vehicles are running, and improve the stability and comfort of the vehicles, an explicit genetic adaptive fuzzy control method is introduced that has a better control effect than traditional fuzzy control. The convergence conditions are extended and the method is proved to be suitable for the suspension system of urban rail train which expands the application range of this method. In Matlab/Simulation, a vehicle suspension system model is built based on the parameters of a certain type of urban rail train at a speed of 80 km/h, and an explicit genetic adaptive fuzzy controller is designed for simulation. The simulation experiment results show that the explicit genetic adaptive fuzzy control has a good effect on suppressing the lateral vibration of the urban rail train suspension system. Under its control, the maximum value, root mean square value and power spectral density value of the vehicle's lateral composite acceleration, lateral vibration acceleration, roll vibration acceleration and shaking head vibration acceleration are all reduced. Compared with ordinary fuzzy control, the explicit genetic adaptive fuzzy control can effectively suppress the lateral vibration of urban rail trains and greatly improve passenger comfort.

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  • 在线发布日期: 2020-08-27
  • 出版日期: 2020-08-30
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