Permanent Magnet Motor Torque Waveform Prediction Using Learned Gap Flux
Author:
Affiliation:
1. Mitsubishi Electric Corporation,Advanced Technology R&D Center,Amagasaki,Japan
2. Mitsubishi Electric Research Laboratories (MERL),Cambridge,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10585268/10585609/10585875.pdf?arnumber=10585875
Reference5 articles.
1. Artificial Neural Network (ANN) Based Fast and Accurate Inductor Modeling and Design
2. A Machine Learning Based Method to Efficiently Analyze the Cogging Torque Under Manufacturing Tolerances
3. Deep-neural-network-based Electromagnetic Analysis and Optimal Design of Fractional-slot Brushless DC Motor for High Torque Robot Joints
4. Comparison of Learning-based Surrogate Models for Electric Motors
5. Optimization of instantaneous torque shape of PM motors using artificial neural networks based on FE results
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