HUSCAP logo Hokkaido Univ. logo

Hokkaido University Collection of Scholarly and Academic Papers >
Graduate School of Information Science and Technology / Faculty of Information Science and Technology >
Peer-reviewed Journal Articles, etc >

Automatic Design of PM Motor Using Monte Carlo Tree Search in Conjunction With Topology Optimization

Files in This Item:
Hsato_Compumag2021_fullpaper_submit_20220131.pdf1.39 MBPDFView/Open
Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/87017

Title: Automatic Design of PM Motor Using Monte Carlo Tree Search in Conjunction With Topology Optimization
Authors: Sato, Hayaho Browse this author
Igarashi, Hajime Browse this author →KAKEN DB
Keywords: Optimization
Shape
Rotors
Permanent magnet motors
Geometry
Magnetic cores
Design methodology
Design optimization
permanent magnet (PM) motors
tree data structures
Issue Date: Sep-2022
Publisher: IEEE (Institute of Electrical and Electronics Engineers)
Journal Title: IEEE transactions on magnetics
Volume: 58
Issue: 9
Start Page: 7200504
Publisher DOI: 10.1109/TMAG.2022.3164926
Abstract: A novel automatic design method for permanent magnet (PM) motors using a Monte Carlo tree search is presented. The optimal motor structures are determined through a tree search, in which the motors with different numbers of poles, current phase angles, PM configurations, and numbers of PMs are simultaneously considered. At the leaf nodes, parameter and topology optimizations are performed to obtain the optimal material shape and distribution. The proposed method was applied to the optimization of a 24-slot motor. It was shown to be effective in finding the optimal motor structure and geometry to maximize the average torque while considering iron loss. The proposed method can be applied not only to the design of PM motors but also to many types of electric apparatus and other systems.
Rights: © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Type: article (author version)
URI: http://hdl.handle.net/2115/87017
Appears in Collections:情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 五十嵐 一

Export metadata:

OAI-PMH ( junii2 , jpcoar_1.0 )

MathJax is now OFF:


 

 - Hokkaido University