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A novel numerical method for accelerating the computation of the steady-state in induction machines

机译:加速感应电机稳态计算的新数值方法

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This paper presents a novel and efficient methodology to reduce the time needed to reach the steady-state in the finite element simulation of induction machines. More precisely, the work focuses on induction motors with squirrel cage rotor, where sources in the stator coil sides are given in terms of periodic currents. Essentially, the procedure consists in computing suitable initial conditions for the currents in the rotor bars, thus allowing to obtain the steady-state fields of the machine by solving a transient magnetic model in just a few revolutions. Firstly, the mathematical model that simulates the behavior of the machine is introduced. Then, an approximation of this model is developed, from which suitable initial currents are derived by computing the solution in the least-square sense to an overdetermined problem with only two unknowns. Finally, the method is applied to a particular induction machine working under different operating conditions. The results show important computational savings to reach the motor steady-state in comparison with assuming zero initial conditions, which validate the efficiency of the procedure. (C) 2019 Elsevier Ltd. All rights reserved.
机译:本文提出了一种新颖有效的方法,以减少感应电机有限元仿真中达到稳态所需的时间。更准确地说,这项工作集中在具有鼠笼式转子的感应电动机上,其中定子线圈侧的源是根据周期性电流给出的。从本质上讲,该过程包括为转子棒中的电流计算合适的初始条件,从而允许通过在短短几圈内求解瞬态磁模型来获得电机的稳态场。首先,介绍了模拟机器行为的数学模型。然后,开发出该模型的近似值,通过在最小二乘意义上对只有两个未知数的超定问题进行计算,从中得出合适的初始电流。最后,该方法被应用于在不同操作条件下工作的特定感应电机。结果表明,与假设零初始条件相比,达到电机稳态可节省大量计算量,这可验证该过程的效率。 (C)2019 Elsevier Ltd.保留所有权利。

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