Automatic Tuning Method for PMSM using Big Data based Artificial Neural Network-Reference-Cited by-同舟云学术

Automatic Tuning Method for PMSM using Big Data based Artificial Neural Network

Published:2022-01-01 Issue:1 Volume:11 Page:185-186
ISSN:2187-1094
Container-title:IEEJ Journal of Industry Applications
language:en
Short-container-title:IEEJ Journal IA

Author:

Maekawa Sari¹

Affiliation:

1. Department of Systems Design Engineering, Faculty of Science and Technology, Seikei University

Publisher

Institute of Electrical Engineers of Japan (IEE Japan)

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering,Energy Engineering and Power Technology,Automotive Engineering

Link

https://www.jstage.jst.go.jp/article/ieejjia/11/1/11_L21000741/_pdf

Reference4 articles.

1. (1) S. Maekawa, M. Sugimoto, K. Ishida, M. Nogi, and M. Kanamori: “Stability Analysis of Sensorless Speed Control for PMSM Considered Current Control System”, T. IEE Japan, Vol. 138, No. 4, pp. 736-744 (2018)

2. (2) B. K. Bose: “Neural Network Applications in Power Electronics and Motor Drives An Introduction and Perspective”, IEEE Transactions on Industrial Electronics, Vol. 54, No. 1, pp. 14-33 (2007)

3. (3) D. Li, Y. Notohara, T. Suzuki, and T. Ando: “Start-up Method Involving Reduced Shock in Speed and Current for PMSMs with Position Sensorless Control under Wide-Range Load”, T. IEE Japan, Vol. 130, No. 9, pp. 1075-1080 (2010)

4. (4) A. Tanaka and S. Maekawa: “The Proposal of discriminating stable control bandwidth using ANN in sensorless speed control system for PMSM”, 2020 22nd European Conference on Power Electronics and Applications

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