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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 37, Number 3(4) (2025)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 1181-1192
S&M3980 Research Paper of Special Issue https://doi.org/10.18494/SAM5219 Published: March 31, 2025 Speed Estimation Rotor-flux-vector-controlled Induction Motor Drive Based on Adaptive Flux Estimator [PDF] Yung-Chang Luo, Wei-Chen Lin, Hao-You Huang, and Wen-Cheng Pu (Received June 27, 2024; Accepted February 6, 2025) Keywords: rotor flux vector control (RFVC), speed estimation, flux estimator, model reference adaptive control (MRAC), ant colony optimization (ACO) algorithm
A speed estimation scheme was proposed for the rotor-flux-vector-controlled (RFVC) induction motor (IM) drive. The decoupled RFVC IM drive was developed on the basis of stator current and rotor flux, with the measured stator current obtained from the IM using Hall effect current sensors. A model reference adaptive control rotor flux estimator was designed, utilizing both voltage-model and current-model rotor fluxes, and the adaptation mechanism was optimized using the ant colony optimization algorithm. The estimated rotor speed was derived from the adaptive rotor flux estimator. The MATLAB®/Simulink toolbox was employed to simulate this system, and all control algorithms were implemented on a TI DSP 6713 and F2812 microcontrol card to validate the proposed approach. Both simulation and experimental results confirmed the effectiveness of the method.
Corresponding author: Yung-Chang Luo  This work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Yung-Chang Luo, Wei-Chen Lin, Hao-You Huang, and Wen-Cheng Pu, Speed Estimation Rotor-flux-vector-controlled Induction Motor Drive Based on Adaptive Flux Estimator, Sens. Mater., Vol. 37, No. 3, 2025, p. 1181-1192. |
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