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Predictive Slip Control for Electrical Trains

机译:电气列车的预测滑移控制

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This paper presents a new methodology to achieve the maximum adhesion between wheels of a train and rails throughout acceleration mode of electrical trains in terms of predicting its corresponding wheel slip. The proposed methodology obtains the best operation point holding the maximum acceleration at the maximum adhesion point. Since the feeble adhesion coefficient is the first problem of the adhesion control system and it is not a measurable quantity, an estimator is used to estimate the adhesion coefficient. Although variations of the adhesion coefficient versus the wheel slip do not have a fixed curve and a certain behavior, the proposed methodology is capable of gaining the maximum acceleration and optimizes the depreciation of the wheel and the rail. The interior loop of the proposed predictive slip control is the field-oriented control of the induction motor. After simulation, the suggested methodology is implemented on a test bench using a digital signal processor (DSP). The experimental and simulation results justify the efficiency and efficacy of the proposed idea.
机译:本文提出了一种新方法,可在预测电动车的相应车轮滑移率的过程中,在整个电动火车的加速模式下实现火车车轮与铁轨之间的最大附着力。所提出的方法获得了在最大粘附点处保持最大加速度的最佳操作点。由于微弱的粘附系数是粘附控制系统的首要问题,并且不是可测量的量,因此使用估计器来估计粘附系数。尽管附着系数与车轮打滑率的变化不具有固定的曲线和特定的行为,但所提出的方法能够获得最大的加速度并优化车轮和轨道的折旧。所提出的预测滑动控制的内部回路是感应电动机的磁场定向控制。经过仿真后,建议的方法将在测试台上使用数字信号处理器(DSP)实施。实验和仿真结果证明了所提出思想的有效性和有效性。

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