An Improvement in Dynamic Behavior of Single Phase PM Brushless DC Motor Using Deep Neural Network and Mixture of Experts-Reference-Cited by-同舟云学术

An Improvement in Dynamic Behavior of Single Phase PM Brushless DC Motor Using Deep Neural Network and Mixture of Experts

Published:2023 Issue: Volume:11 Page:64260-64271
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Zhang Yang¹,Gono Radomir²^ORCID,Jasiński Michał²^ORCID

Affiliation:

1. Beijing Aiqi Technology Company Ltd., Beijing, China

2. Department of Electrical Power Engineering, Faculty of Electrical Engineering and Computer Science, VSB—Technical University of Ostrava, Ostrava, Czech Republic

Funder

VSB—Technical University of Ostrava

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10162182.pdf?arnumber=10162182

Reference48 articles.

1. An Initial States Recognition (ISR) Method for Start-Up of 1Ф BLDC Motor in Hall-Sensor-Less Fan Applications

2. Design and Analysis of Halbach Array Assisted PM Brushless DC Motor for Ceiling Fan

3. Cogging Torque Reduction of Single-Phase Brushless DC Motor With a Tapered Air-Gap Using Optimizing Notch Size and Position

4. Nonlinear Dynamic Modeling of a Single-Phase Permanent-Magnet Brushless DC Motor Using 2-D Static Finite-Element Results

5. control of single-phase permanent magnet brushless dc drives for high-speed applications;zhu;Proceedings of 8th International Conference on Power Electronics and Variable Speed Drives,2000

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