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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 30, Number 4(2) (2018)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 845-856
S&M1543 Research Paper of Special Issue https://doi.org/10.18494/SAM.2018.1788 Published: April 27, 2018 Speed Estimation of Stator Field Orientation Control Induction Motor Drive Based on the Particle Swarm Optimization Algorithm [PDF] Yung-Chang Luo, Chen-Lung Tsai, and Ying-Piao Kuo (Received October 27, 2017; Accepted January 4, 2018) Keywords: speed estimation, flux observer, current sensor, particle swarm optimization (PSO) algorithm, stator field orientation control (SFOC) induction motor (IM) drive
In this study, flux-observer-based speed estimation was used to achieve stator field orientation control (SFOC) of an induction motor (IM) drive utilizing both stator current and stator flux, and the stator current was obtained from an IM by utilizing Hall effect current sensors. The speed estimation scheme was designed in accordance with the Lyapunov stability theory, and the flux observer gain matrix was acquired by the application of a modified particle swarm optimization (PSO) algorithm. The MATLAB/Simulink toolbox was used for simulation, and all the control algorithms were realized using a 32-bit RX62T micro controller to generate pulse width modulation (PWM) signals to the power stage, to drive the motor, and to validate this approach. Both simulation and experimental results confirmed the effectiveness of the proposed system.
Corresponding author: Yung-Chang Luo Cite this article Yung-Chang Luo, Chen-Lung Tsai, and Ying-Piao Kuo, Speed Estimation of Stator Field Orientation Control Induction Motor Drive Based on the Particle Swarm Optimization Algorithm, Sens. Mater., Vol. 30, No. 4, 2018, p. 845-856. |
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