Multi-objective optimization design of permanent magnet synchronous motor based on differential evolutionary algorithm

In this paper, a multi-objective optimization design method for permanent magnet synchronous motor based on differential evolution algorithm is proposed. Taking the motor quality and motor efficiency as the optimization objectives, and taking the power, motor outer diameter and pulsating torque as the constraints, the optimization model of permanent magnet synchronous motor is established, and the motor is optimized and designed based on differential evolution algorithm. Compared with the traditional response surface method, the proposed method has stronger global search capability, better robustness, and handles nonlinear multi-objective optimization problems better.

Authors

Institutions

Publication Details

Published
2024-12-27
DOI
https://doi.org/10.1109/ic2ecs64405.2024.10928661
Primary Topic
Educational Technology and Assessment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multi-objective optimization design of permanent magnet synchronous motor based on differential evolutionary algorithm

Qiyuan He, Weijie Zheng
Educational Technology and Assessment
article

Multi-objective optimization design of permanent magnet synchronous motor based on differential evolutionary algorithm

Qiyuan He, Weijie Zheng
article en

Abstract

In this paper, a multi-objective optimization design method for permanent magnet synchronous motor based on differential evolution algorithm is proposed. Taking the motor quality and motor efficiency as the optimization objectives, and taking the power, motor outer diameter and pulsating torque as the constraints, the optimization model of permanent magnet synchronous motor is established, and the motor is optimized and designed based on differential evolution algorithm. Compared with the traditional response surface method, the proposed method has stronger global search capability, better robustness, and handles nonlinear multi-objective optimization problems better.

Southeast University (CN)
Affordable and clean energy
Openalex Percentile: Top 55%
Educational Technology and Assessment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Multi-objective optimization design of permanent magnet synchronous motor based on differential evolutionary algorithm — Qiyuan He, Weijie Zheng · (2024) | TGRS Research Map | TGRS