Optimization of Torque Ripples in an Interior Permanent Magnet Synchronous Motor Based on the Orthogonal Experimental Method and MIGA and RBF Neural Networks

Optimization of Torque Ripples in an Interior Permanent Magnet Synchronous Motor Based on the Orthogonal Experimental Method and MIGA and RBF Neural Networks

Interior permanent magnet synchronous motors (IPMSMs) have high power densities and speed control performance, and they are widely used in the industry. The problem of reducing the torque ripple of an IPMSM is one of the hot issues in the field of electrical machine design. In order to determine the...

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Bibliographic Details
Main Authors: Jinshun Hao, Shuangfu Suo, Yiyong Yang, Yang Wang, Wenjie Wang, Xiaolong Chen
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Optimization
permanent magnet machines
genetic algorithms
torque
Online Access:https://ieeexplore.ieee.org/document/8981998/

Internet

https://ieeexplore.ieee.org/document/8981998/

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