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MODEL REFERENCE ADAPTIVE CONTROL OF TRAIN DYNAMIC BRAKING

机译:动力制动的模型参考自适应控制

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Model Reference Adaptive Control (MRAC) is developed to control the amount of current through the traction motors under various wheel/rail adhesion conditions while braking. More accurate estimation and control of train braking distance will allow the trains to be run with closer spacing. In order to minimize the braking distance of a train, dynamic braking forces need to be maximized while maintaining good wheel/rail adhesion. Wheel/rail adhesion coefficient plays an important role in safe train braking. Excessively large dynamic braking can cause wheel lockup that can damage the wheels and the rail. In addition, it can cause large buff loads that cause derailment or coupler damage. Dynamic braking force is directly proportional to the current supplied to the traction motors. In this study, a multibody formulation of a locomotive and three railcars is used to develop a model reference adaptive controller for adjusting the current provided to the traction motors such that the maximum dynamic braking is achieved, without wheel lockup. Aerodynamic drag and air brake forces are included in the model. The coupler forces are also considered in the control model to ensure that they remain within acceptable levels. The results indicate that the MRAC system significantly improves braking distance while maintaining better wheel/rail adhesion and coupler dynamics during braking.
机译:开发了模型参考自适应控制(MRAC),以在制动时在各种车轮/轨道附着条件下控制通过牵引电动机的电流量。列车制动距离的更精确估计和控制将允许列车以更近的间距行驶。为了最小化火车的制动距离,需要在保持良好的轮/轨附着力的同时最大化动态制动力。轮轨附着力系数在火车安全制动中起着重要作用。太大的动态制动会导致车轮锁死,从而损坏车轮和导轨。另外,它可能会导致大的抛光负载,从而导致脱轨或耦合器损坏。动态制动力与提供给牵引电动机的电流成正比。在这项研究中,机车和三个有轨电车的多体公式用于开发模型参考自适应控制器,以调节提供给牵引电动机的电流,从而实现最大的动态制动,而无需锁死车轮。空气阻力和空气制动力包含在模型中。在控制模型中还考虑了耦合器力,以确保它们保持在可接受的水平内。结果表明,MRAC系统显着改善了制动距离,同时在制动过程中保持了更好的轮/轨附着力和联轴器动力学。

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