Optimal Design of Hybrid Stator Pole Type Bearingless Switched Reluctance Motor with Simulated Annealing Particle Swarm Optimization Algorithm-Reference-Cited by-同舟云学术

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Optimal Design of Hybrid Stator Pole Type Bearingless Switched Reluctance Motor with Simulated Annealing Particle Swarm Optimization Algorithm

Published:2022-05-27 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 5th International Electrical and Energy Conference (CIEEC)
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Author:

Xu Zhenyao¹,Yu Qingguo¹,Wang Huijun²,Zhang Yue³,Yi Tiehang⁴

Affiliation:

1. Shenyang University of Technology,School of Electrical Engineering,Shenyang,China

2. Beihang University,School of Instrumentation Science and Opto-Electronics Engineering,Beijing,China

3. Shandong University,School of Electrical Engineering,Jinan,China

4. CRRC Dalian Institute,Heat-Exchange System Division,Dalian,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9845798/9845816/09845835.pdf?arnumber=9845835

Reference15 articles.

1. DENG Jingshun. A Review of Particle Swarm Optimization Algorithms;naigang;Journal of Science and Technology Innovation,2015

2. Fu Jiaxing, Xie Wei. Thermal Temperature Model Identification Based on Improved Particle Swarm Optimization Algorithm;wei;J Eng for Thermal Energy and Power,2017

3. Rotor Optimization Design of Double-stator Brushless Doubly-fed Motor Based on Improved Particle Swarm Optimization Algorithm;dandan,2019

4. Research on Function Optimization of Particle Swarm Optimization Algorithm Based on Simulated Annealing;guofei,2013

5. Research and Application of Improved Particle Swarm Optimization Algorithm based on Simulated Annealing;yongsheng;J Naval Aeronautical Eng Inst,2018

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