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Robust Velocity Estimation for Railway Vehicles * * This work was supported by Tübitak 110G001 E1000 Electric Locomotive Project and 116G018 E5000 Electric Locomotive Project.

机译:铁路车辆的稳健速度估计 * * 这项工作得到了Tübitak110G001 E1000电力机车项目和116G018 E5000电力机车项目的支持。

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Efficient slip and slide control systems are crucial in railway transportation since maximization of adhesion utilization and minimization of operating costs mainly depend on performance of such control systems. In order to improve adhesion characteristics, slip and slide control systems should hold the slip ratio at its optimum value which is determined considering vehicle velocity and environmental conditions. On the other hand, calculation of slip ratio with high accuracy is a quite challenging problem because of the difficulties in obtaining vehicle longitudinal velocity. This article proposes a novel method for robust estimation of railway vehicle velocity which uses only the angular velocity of the wheels. To this end, linear matrix inequality (LMI) approach is used to synthesize a robust estimator established on a longitudinal vehicle model with dynamic friction properties. The developed estimator is tested for extreme scenarios and the results are discussed regarding the international standards for vehicle velocity measurement in slip/slide control systems.
机译:高效的滑移和滑移控制系统在铁路运输中至关重要,因为最大程度地利用附着力和最小化运营成本主要取决于此类控制系统的性能。为了改善附着特性,滑移和滑移控制系统应将滑移率保持在最佳值,该值是根据车速和环境条件确定的。另一方面,由于难以获得车辆纵向速度,因此高精度地计算滑移率是一个非常具有挑战性的问题。本文提出了一种仅用车轮的角速度进行铁路车辆速度稳健估计的新方法。为此,使用线性矩阵不等式(LMI)方法来综合建立在具有动态摩擦特性的纵向车辆模型上的鲁棒估计量。对开发的估算器进行了极端环境测试,并讨论了有关滑移/滑移控制系统中车辆速度测量的国际标准的结果。

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