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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 32, Number 9(3) (2020)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 3073-3082
S&M2323 Research Paper of Special Issue https://doi.org/10.18494/SAM.2020.2735 Published: September 30, 2020 Adaptive Fuzzy Controller Design for Simulated Moving Bed System [PDF] Chao-Fan Xie, Huang-Chu Huang, Lin Xu, Yu-Ju Chen, and Rey-Chue Hwang (Received December 13, 2019; Accepted August 25, 2020) Keywords: simulated moving bed, chromatographic separation, adaptive fuzzy controller
The simulated moving bed process (SMB), recognized as one of the cleanest options for chromatographic separation, has been widely used in the biopharmaceutical and chemical industries. However, the complex and nonlinear behavior of SMB still poses concerns and challenges in current developments of its precision control. In this study, an adaptive fuzzy controller is designed and presented. Unlike the traditional fuzzy controller, three error terms, the purity error (e), error change (Δe), and the sum of errors (Σe), are used as the influencing parameters of the developed controller. The experimental results demonstrate the potential of adaptive fuzzy controllers in improving system robustness and implementing precision control in SMB.
Corresponding author: Rey-Chue Hwang  This work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Chao-Fan Xie, Huang-Chu Huang, Lin Xu, Yu-Ju Chen, and Rey-Chue Hwang, Adaptive Fuzzy Controller Design for Simulated Moving Bed System, Sens. Mater., Vol. 32, No. 9, 2020, p. 3073-3082. |
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