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A motor control method by using Machine learning

机译:使用机器学习的电机控制方法

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It is believed that further popularization of highly efficient PMSM in recent years can contribute to energy consumption reduction. Therefore, further development of electric motor technology is required. The control method that can deal with nonlinear elements is proposed by performing control using RT-simulation. However, the conventional RT-simulation based control can not cope with changes in motor parameters. To solve this problem, We propose to make the motor model which can respond with the change of motor parameters by using machine learning algorithm.
机译:据信,近年来,高效的PMSM进一步推广,可以有助于减少能耗。因此,需要进一步发展电动机技术。通过使用RT仿真执行控制,提出了可以处理非线性元件的控制方法。然而,传统的RT仿真控制无法应对电动机参数的变化。为了解决这个问题,我们建议通过使用机器学习算法来使电机模型能够通过电机参数的变化进行响应。

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