@inproceedings{fb254557b6c84b2ba85634729e6012f3,
title = "A motor control method by using Machine learning",
abstract = "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. ",
keywords = "Motor-control, Non-linear element, PMSM, RT-simulator, machine-learning, neural network",
author = "Kano Matsuura and Kan Akatsu",
note = "Publisher Copyright: {\textcopyright} 2020 The Institute of Electrical Engineers of Japan. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 23rd International Conference on Electrical Machines and Systems, ICEMS 2020 ; Conference date: 24-11-2020 Through 27-11-2020",
year = "2020",
month = nov,
day = "24",
doi = "10.23919/ICEMS50442.2020.9290989",
language = "English",
series = "23rd International Conference on Electrical Machines and Systems, ICEMS 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "652--655",
booktitle = "23rd International Conference on Electrical Machines and Systems, ICEMS 2020",
}