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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 36, Number 6(5) (2024)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 2643-2654
S&M3692 Research Paper of Special Issue https://doi.org/10.18494/SAM4838 Published: June 28, 2024 Speed Prediction Direct-torque-controlled Induction Motor Drive Based on Motor Resistance Parameter Identification [PDF] Yung-Chang Luo, Jian-Chien Tsai, Hao-You Huang, and Wen-Cheng Pu (Received December 21, 2023; Accepted June 7, 2024) Keywords: direct torque control (DTC), speed prediction, stator resistance parameter identification, model reference adaptive system (MRAS), modified particle swarm optimization (PSO) algorithm
A motor resistance parameter identification scheme was proposed for the speed prediction of a direct-torque-controlled (DTC) induction motor (IM) drive. The DTC IM drive was established on the basis of the stator’s current and flux, with the stator current acquired from an IM using the Hall effect current sensor. Rotor speed prediction was achieved using the electromagnetic torque and rotor flux. The stator resistance parameter identification scheme was developed using the model reference adaptive system based on the motor’s active power, and the adaptation mechanism was designed using the modified particle swarm optimization algorithm. The MATLAB\Simulink® toolbox was utilized to simulate this system, and all the control algorithms were realized using a TI DSP 6713 and F2812 micro-control card to validate this approach. Simulation and experimental results 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, Jian-Chien Tsai, Hao-You Huang, and Wen-Cheng Pu, Speed Prediction Direct-torque-controlled Induction Motor Drive Based on Motor Resistance Parameter Identification, Sens. Mater., Vol. 36, No. 6, 2024, p. 2643-2654. |
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