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Increasing the kinematic performance of the rail vehicles by using adaptive control methods for steering bogies

机译:通过使用转向架的自适应控制方法来提高轨道车辆的运动学性能

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This paper presents the analysis of two control methods used to increase the kinematic performance of two-axle bogie when the rail vehicle travels on curved track with constant speed. A holistic model for the bogie and wheelsets is developed using the multibody system approach. The mathematical model is implemented in MATLAB environment using Simulink toolbox. Then the bogie model is included in a closed loop and PID controller tuning is performed using Control Systems toolbox from MATLAB environment. The simulated values for lateral and yaw angular displacement of wheelsets are compared with those obtained by applying the Model Reference Adaptive Control (MRAC) method. The results of the sensitivity analysis for rise time, peak overshoot and settling time with respect to travel speed for rail vehicle show that MRAC method improves the time domain closed-loop performance. The proposed MRAC method applied to the bogie system within the rail vehicle multibody model represents an important contribution to the development of rail transportation systems where rolling stock is equipped with motion control systems with superior efficiency and reduced energy consumption.
机译:本文介绍了两种用于在轨道车辆以恒定速度行驶于弯曲轨道时提高两轴转向架运动性能的控制方法的分析。使用多体系统方法开发了转向架和轮对的整体模型。数学模型是使用Simulink工具箱在MATLAB环境中实现的。然后将转向架模型包含在闭环中,并使用MATLAB环境中的Control Systems工具箱执行PID控制器调整。将轮对的横向和偏航角位移模拟值与通过应用模型参考自适应控制(MRAC)方法获得的值进行比较。针对铁路车辆的行驶速度的上升时间,峰值超调和建立时间的灵敏度分析结果表明,MRAC方法改善了时域闭环性能。应用于铁路车辆多体模型内转向架系统的拟议MRAC方法对轨道交通系统的发展做出了重要贡献,在该系统中,机车车辆配备了运动控制系统,具有出色的效率并降低了能耗。

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