Young Researcher Paper Award 2023
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Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
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Sensors and Materials
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is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
Instructions to authors
English 日本語
Instructions for manuscript preparation
English 日本語
Template
English
Publisher
MYU K.K.
Sensors and Materials
1-23-3-303 Sendagi,
Bunkyo-ku, Tokyo 113-0022, Japan
Tel: 81-3-3827-8549
Fax: 81-3-3827-8547
MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.
MYU Research
(proofreading and recording)
MYU K.K.
(translation service)
The Art of Writing Scientific Papers
(How to write scientific papers)
(Japanese Only)
Sensors and Materials, Volume 35, Number 6(3) (2023)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 2101-2110
S&M3309 Research Paper of Special Issue https://doi.org/10.18494/SAM4290 Published: June 30, 2023 Variable-parameter Speed Controller for Adaptive Flux-vector-controlled Permanent Magnet Synchronous Motor Drive Using Improved Particle Swarm Optimization Algorithm [PDF] Yung-Chang Luo, Song-Yi Xie, Chia-Hung Lin, and Ying-Piao Kuo (Received December 28, 2022; Accepted May 25, 2023) Keywords: flux-vector-controlled (FVC), permanent magnet synchronous motor (PMSM) drive, improved particle swarm optimization (PSO) algorithm, adaptive speed prediction scheme, firefly algorithm (FA)
A variable-parameter speed controller was developed for an adaptive flux-vector-controlled (FVC) permanent magnet synchronous motor (PMSM) drive. The decoupled FVC PMSM drive was established using the stator voltage and current, and an adaptation mechanism of the model reference adaptive system (MRAS) speed prediction scheme was designed using the firefly algorithm (FA). A variable-parameter speed controller was designed using an improved particle swarm optimization (PSO) algorithm, replacing the conventional fixed-parameter speed controller to adapt to severe interference and sudden load changes. Hall-effect current sensors were used as electromagnetic sensing elements to detect the stator current from the PMSM. A MATLAB/Simulink© toolbox was used to establish the simulation scheme, and all control algorithms were realized using a microcontroller card. Simulation and experimental results under load changes confirmed the effectiveness of the proposed approach.
Corresponding author: Yung-Chang Luo  This work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Yung-Chang Luo, Song-Yi Xie, Chia-Hung Lin, and Ying-Piao Kuo, Variable-parameter Speed Controller for Adaptive Flux-vector-controlled Permanent Magnet Synchronous Motor Drive Using Improved Particle Swarm Optimization Algorithm, Sens. Mater., Vol. 35, No. 6, 2023, p. 2101-2110. |
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