基于附着估计的电力机车轮滑控制新方法

Shikha Saini, Ganga Singh Bhawaria
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引用次数: 0

摘要

传统的轮滑控制方法以轮滑速度为控制变量,减小输出电机的转矩,实现止滑。它遭受了一些主要的挫折,这些挫折在本文中通过印度铁路机车的案例研究得到证实。在此基础上,提出了利用估计附着力矩控制电力机车轮滑水平的新方法。从单轨车轮纵向植物动力学中,可以推导出粘附力矩被视为电机上的负载力矩,因此可以使用状态观测器来估计。所提出的控制是基于这样的假设:如果输入电机转矩与电机上估计的附着负载转矩之间的差值超过预定义的阈值,则会产生过大的转矩。这种过大的扭矩有助于车轮加速,需要通过减少输出电机扭矩来迅速抑制。因此,使用估计的附着转矩(电机负载转矩)直接检测和控制滑移有助于消除获取列车速度信息以进行滑移控制的需要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adhesion estimation based novel approach to control wheel slip in electric locomotives
Conventional wheel slip control method uses slip velocity as control variable to reduce output motor torque for arresting wheel slip. It suffers from some of the major setbacks which are substantiated in this paper by case studies from Indian Railway locomotives. Further this paper proposes novel approach using estimated adhesion torque to control wheel slip level in electric locomotives. From single rail wheel longitudinal plant dynamics, it can be derived that the adhesion torque is seen as load torque on the motor and therefore can be estimated using a state observer. Proposed control is based on the hypothesis that if the difference between the input motor torque and the estimated adhesion load torque on motor exceeds the pre-defined threshold value, excessive torque is generated. This excessive torque contributes to wheel acceleration and needs to be suppressed quickly by reducing the output motor torque. Thus, using estimated adhesion torque (motor load torque) directly to detect and control slip this paper contributes in eliminating the need to acquire train velocity information for slip control.
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