Optimization Design of Permanent Magnet Synchronous Motor Based on Multi-Objective Artificial Hummingbird Algorithm

The interior permanent magnet synchronous motor (IPMSM) is known for its high output torque, strong overload capacity, and high power density, making it a popular choice in the electric vehicle industry. This paper proposes an improved multi-objective artificial hummingbird algorithm that combines c...

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Bibliographic Details
Published in:	Actuators Vol. 13; no. 7; p. 243
Main Authors:	Zhang, Shaoru, Yan, Hui, Yang, Likun, Zhao, Hua, Du, Xiuju, Zhang, Jielu
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.07.2024
Subjects:	Adaptive algorithms Back electromotive force Deep learning Design optimization Design techniques Efficiency Electric vehicles Electromotive forces Finite element analysis Finite element method Foraging behavior Genetic algorithms IPMSM MOAHA multi-objective optimization Multiple objective analysis Neural networks Objectives Optimization algorithms Parameter identification Permanent magnets Response surface methodology Ripples Sensitivity analysis Synchronous motors Taguchi methods Torque
ISSN:	2076-0825, 2076-0825
Online Access:	Get full text
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