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Studies in Design of High Torque Three-Phase Squirrel-Cage AC Traction Motor with Aluminium Alloy Rotor Bars and Parameter Optimization using Artificial Neural Networks

机译:用铝合金转子杆和参数优化设计高扭矩三相鼠笼式交流牵引电动机的研究与人工神经网络的参数优化

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The most vital parameter of locomotive operation is based on enhancing the kW/kg ratio of traction motor. The change over to three-phase squirrel-cage AC traction motor in electric locomotives, on inverter supply, made the traction drive most economical with high kW/kg ratio, thereby also reducing the un-sprung mass on the axle. In AC traction motor, alternative aluminium alloy rotor bars have been proposed to achieve better performance, light weight, cost reduction, and to meet the scarcity of copper to come in future. Design of rotor plays a vital role in development of torque on motor shaft. The important parameter in design of AC traction motor under inverter supply is the consideration of harmonics generated by it. In this paper, back propagation artificial neural network technique has been adopted to optimize the output design parameters of the AC traction motor rotor with aluminium alloy bars, keeping the stator design un changed. The comparison of AC traction motor with copper bars vis-a-vis aluminium alloy rotor bars in respect of torque developed and efficiency have been dealt in this study which present a good alternative approach in AC traction motor design.
机译:机车操作中最重要的参数是基于提高牵引电动机的KW / kg比率。在电力机车上的三相鼠笼式交流牵引电动机的变化,逆变器供应,使牵引驱动器具有高kW / kg比率,从而减少了轴上的未浇簧质量。在AC牵引电动机中,已经提出了替代的铝合金转子杆,以实现更好的性能,重量轻,降低成本,并满足未来铜的稀缺性。转子设计在电机轴上的扭矩开发中起着至关重要的作用。逆变器供应下AC牵引电动机设计中的重要参数是考虑由它产生的谐波。本文采用了后传播人工神经网络技术,以优化AC牵引电动机转子与铝合金棒的输出设计参数,保持定子设计未改变。在该研究的情况下,在扭矩开发和效率方面,对具有铜棒的AC牵引电动机的比较了解扭矩产生和效率。在AC牵引电动机设计中呈现出良好的替代方法。

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