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Modeling and control of steam distillation in essential oil extraction system using Fuzzy Model Reference Learning Control (FMRLC) / Nurhani Kasuan

Malaysia is one of developing countries endowed with abundant resources of raw materials which have to be exploited especially in terms of technological provision in order to sustain and enhance aromatic plants industries and utilization. The essential oil from plant materials contains fragile aroma...

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Main Author: Kasuan, Nurhani
Format: Book Section
Language:English
Published: Institute of Graduate Studies, UiTM 2017
Subjects:
Malaysia
Online Access:http://ir.uitm.edu.my/id/eprint/19800/1/ABS_NURHANI%20KASUAN%20TDRA%20VOL%2011%20IGS%2017.pdf
http://ir.uitm.edu.my/id/eprint/19800/
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spelling my.uitm.ir.198002018-06-08T01:06:59Z http://ir.uitm.edu.my/id/eprint/19800/ Modeling and control of steam distillation in essential oil extraction system using Fuzzy Model Reference Learning Control (FMRLC) / Nurhani Kasuan Kasuan, Nurhani Malaysia Malaysia is one of developing countries endowed with abundant resources of raw materials which have to be exploited especially in terms of technological provision in order to sustain and enhance aromatic plants industries and utilization. The essential oil from plant materials contains fragile aromatic molecules that can easily be destroyed or modified by changes caused during the extraction process. Even a subtle difference in extraction process conditions can have a significant effect on oil quality. Temperature one of important parameters that mostly affect essential oil production. In the conventional steam distillation method, high temperatures and extended heat were exposed to botanical plants that can cause thermal degradation to the extracted oil. In this research, a pilot-scale steam distillation system with temperature monitoring and control module was proposed to maintain process temperature at desired response, to avoid waste of energy usage and inconsistency of oil production quality and quantity due to uncertainties. In this study, the range of controlled steam temperature was set between 80oC to 90oC with time constant of desired reference model at 220 seconds with no overshoot. The model of steam temperature has been derived using auto-regression exogenous (ARX) function. For controller module, a Fuzzy Model Reference Learning Controller (FMRLC) was designed and applied to regulate steam temperature based on desired model reference heating profiles… Institute of Graduate Studies, UiTM 2017 Book Section PeerReviewed text en http://ir.uitm.edu.my/id/eprint/19800/1/ABS_NURHANI%20KASUAN%20TDRA%20VOL%2011%20IGS%2017.pdf Kasuan, Nurhani (2017) Modeling and control of steam distillation in essential oil extraction system using Fuzzy Model Reference Learning Control (FMRLC) / Nurhani Kasuan. In: The Doctoral Research Abstracts. IGS Biannual Publication, 11 (11). Institute of Graduate Studies, UiTM, Shah Alam.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Malaysia
spellingShingle Malaysia
Kasuan, Nurhani
Modeling and control of steam distillation in essential oil extraction system using Fuzzy Model Reference Learning Control (FMRLC) / Nurhani Kasuan
description Malaysia is one of developing countries endowed with abundant resources of raw materials which have to be exploited especially in terms of technological provision in order to sustain and enhance aromatic plants industries and utilization. The essential oil from plant materials contains fragile aromatic molecules that can easily be destroyed or modified by changes caused during the extraction process. Even a subtle difference in extraction process conditions can have a significant effect on oil quality. Temperature one of important parameters that mostly affect essential oil production. In the conventional steam distillation method, high temperatures and extended heat were exposed to botanical plants that can cause thermal degradation to the extracted oil. In this research, a pilot-scale steam distillation system with temperature monitoring and control module was proposed to maintain process temperature at desired response, to avoid waste of energy usage and inconsistency of oil production quality and quantity due to uncertainties. In this study, the range of controlled steam temperature was set between 80oC to 90oC with time constant of desired reference model at 220 seconds with no overshoot. The model of steam temperature has been derived using auto-regression exogenous (ARX) function. For controller module, a Fuzzy Model Reference Learning Controller (FMRLC) was designed and applied to regulate steam temperature based on desired model reference heating profiles…
format Book Section
author Kasuan, Nurhani
author_facet Kasuan, Nurhani
author_sort Kasuan, Nurhani
title Modeling and control of steam distillation in essential oil extraction system using Fuzzy Model Reference Learning Control (FMRLC) / Nurhani Kasuan
title_short Modeling and control of steam distillation in essential oil extraction system using Fuzzy Model Reference Learning Control (FMRLC) / Nurhani Kasuan
title_full Modeling and control of steam distillation in essential oil extraction system using Fuzzy Model Reference Learning Control (FMRLC) / Nurhani Kasuan
title_fullStr Modeling and control of steam distillation in essential oil extraction system using Fuzzy Model Reference Learning Control (FMRLC) / Nurhani Kasuan
title_full_unstemmed Modeling and control of steam distillation in essential oil extraction system using Fuzzy Model Reference Learning Control (FMRLC) / Nurhani Kasuan
title_sort modeling and control of steam distillation in essential oil extraction system using fuzzy model reference learning control (fmrlc) / nurhani kasuan
publisher Institute of Graduate Studies, UiTM
publishDate 2017
url http://ir.uitm.edu.my/id/eprint/19800/1/ABS_NURHANI%20KASUAN%20TDRA%20VOL%2011%20IGS%2017.pdf
http://ir.uitm.edu.my/id/eprint/19800/
_version_ 1685649260475842560
score 13.211869

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