Low-speed sensorless control of permanent magnet synchronous motors via the Cauchy–Gauss hybrid mutation particle swarm optimization algorithm-Reference-Cited by-同舟云学术

Low-speed sensorless control of permanent magnet synchronous motors via the Cauchy–Gauss hybrid mutation particle swarm optimization algorithm

Published:2021-09-08 Issue: Volume: Page:1-25
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Gong Changfu¹,Zhang Rongyun¹,Shi Peicheng²,Zhao Linfeng³,Fang Xinghui¹,Zhou Chenglong¹

Affiliation:

1. The School of Mechanical and Automotive Engineering, Anhui Polytechnic University, Wuhu, People’s Republic of China

2. Automotive New Technology Anhui Engineering and Technology Research Center, Anhui Polytechnic University, Wuhu, People’s Republic of China

3. The School of Automotive and Traffic Engineering, Hefei University of Technology, Hefei, People’s Republic of China

Funder

National Natural Science Foundation of China

The Program Project for Tackling Key Problems in Science and Technology of Anhui

Anhui Universities Natural Science Research Project

Publisher

Informa UK Limited

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2021.1965999

Reference27 articles.

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3. Dynamic multi-swarm particle swarm optimizer using parallel PC cluster systems for global optimization of large-scale multimodal functions

4. An Enhanced Partial Search to Particle Swarm Optimization for Unconstrained Optimization

5. A hybrid simplex search and particle swarm optimization for unconstrained optimization

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