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Re-adhesion control strategy based on the optimal slip velocity seeking method

机译:基于最佳滑移速度寻找方法的再附着控制策略

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摘要

In the railway industry,re-adhesion control plays an important role in attenuating the slip occurrence due to the low adhesion condition in the wheel-rail interaction.Braking and traction forces depend on the normal force and adhesion coefficient at the wheel-rail contact area.Due to the restrictions on controlling normal force,the only way to increase the tractive or braking effect is to maximize the adhesion coefficient.Through efficient utilization of adhesion,it is also possible to avoid wheel-rail wear and minimize the energy consumption.The adhesion between wheel and rail is a highly nonlinear function of many parameters like environmental conditions,railway vehicle speed and slip velocity.To estimate these unknown parameters accurately is a very hard and competitive challenge.The robust adaptive control strategy presented in this paper is not only able to suppress the wheel slip in time,but also maximize the adhesion utilization performance after re-adhesion process even if the wheel-rail contact mechanism exhibits significant adhesion uncertainties and/or nonlinearities.Using an optimal slip velocity seeking algorithm,the proposed strategy provides a satisfactory slip velocity tracking ability,which was demonstrated able to realize the desired slip velocity without experiencing any instability problem.The control torque of the traction motor was regulated continuously to drive the railway vehicle in the neighborhood of the optimal adhesion point and guarantee the best traction capacity after re-adhesion process by making the railway vehicle operate away from the unstable region.The results obtained from the adaptive approach based on the secondorder sliding mode observer have been confirmed through theoretical analysis and numerical simulation conducted in MATLAB and Simulink with a full traction model under various wheel-rail conditions.
机译:在铁路工业中,由于轮-轨相互作用中的附着力低,重新附着控制在减少滑移发生方面起着重要作用。制动和牵引力取决于轮-轨接触区域的法向力和附着系数由于控制法向力的限制,增加牵引力或制动效果的唯一方法是最大化附着系数。通过有效利用附着力,还可以避免轮轨磨损并最小化能耗。轮轨之间的附着力是许多参数(如环境条件,铁路车辆速度和滑移速度)的高度非线性函数。要准确地估计这些未知参数是一项非常艰巨和具有挑战性的挑战。本文提出的鲁棒自适应控制策略不仅能够及时抑制车轮打滑,而且即使重新粘合后仍能最大程度地提高粘合利用率轮-轨接触机制表现出明显的附着性不确定性和/或非线性。使用最优滑移速度搜索算法,该策略提供了令人满意的滑移速度跟踪能力,证明了能够实现所需的滑移速度而不会遇到任何不稳定性问题。连续调节牵引电机的控制扭矩,以使铁路车辆在最佳附着点附近行驶,并通过使铁路车辆远离不稳定区域运行来确保重新附着过程后的最佳牵引能力。通过在MATLAB和Simulink中进行的理论分析和数值模拟,以及在各种轮轨条件下的全牵引力模型,已经证实了基于二阶滑模观测器的自适应方法。

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  • 来源
    《现代交通学报(英文版)》 |2018年第1期|36-48|共13页
  • 作者单位

    Department of Mechatronics Engineering, Graduate School of Science, Engineering and Technology, Istanbul Technical University, Istanbul, Turkey;

    Control Engineering Department, Faculty of Electrical and Electronic Engineering, Istanbul Technical University, Istanbul, Turkey;

    Control Engineering Department, Faculty of Electrical and Electronic Engineering, Istanbul Technical University, Istanbul, Turkey;

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  • 入库时间 2022-08-18 02:42:54
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