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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, like many other developing countries, possesses abundant aromatic plant resources. Thus, the extraction of aromatic plant essential oils offers an economic opportunity. Essential oil is one of a plant's primary metabolites, and this valuable product is in great demand in many industri...

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Main Author: Kasuan, Nurhani
Format: Thesis
Language:English
Published: 2016
Online Access:https://ir.uitm.edu.my/id/eprint/18580/1/18580.pdf
https://ir.uitm.edu.my/id/eprint/18580/
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spelling my.uitm.ir.185802022-03-08T07:30:00Z https://ir.uitm.edu.my/id/eprint/18580/ Modeling and control of steam distillation in essential oil extraction system using fuzzy model reference learning control (FMRLC) / Nurhani Kasuan Kasuan, Nurhani Malaysia, like many other developing countries, possesses abundant aromatic plant resources. Thus, the extraction of aromatic plant essential oils offers an economic opportunity. Essential oil is one of a plant's primary metabolites, and this valuable product is in great demand in many industries and for numerous applications such as aromatic and fragrance products [1], food and flavorings [2], cosmetics [3], insect repellents and pesticides [4], medicine, and so forth. Moreover, public awareness of natural products has increased, and essential oils provide an alternative to synthetic chemicals and drugs. The consumer demand for essential oil products greatly depends on oil concentration and purity. Furthermore, for industrial standards, essential oil production must be maximized while maintaining reasonable quality, which can be achieved through the advancement of extraction technology. Hence, many research efforts involving the distillation process, from advanced to conventional schemes, have aimed to establish and improve techniques for enhancing the quality and production volumes of essential oil. Based on common practice, the steam distillation technique is still preferred and applied in many industrial and research areas due to several factors such as system cost, cleanliness, productivity, and operational cost [5], and its reliability for the mass production of essential oil [6, 7]… 2016 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/18580/1/18580.pdf ID18580 Kasuan, Nurhani (2016) Modeling and control of steam distillation in essential oil extraction system using fuzzy model reference learning control (FMRLC) / Nurhani Kasuan. PhD thesis, thesis, Universiti Teknologi MARA.
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
description Malaysia, like many other developing countries, possesses abundant aromatic plant resources. Thus, the extraction of aromatic plant essential oils offers an economic opportunity. Essential oil is one of a plant's primary metabolites, and this valuable product is in great demand in many industries and for numerous applications such as aromatic and fragrance products [1], food and flavorings [2], cosmetics [3], insect repellents and pesticides [4], medicine, and so forth. Moreover, public awareness of natural products has increased, and essential oils provide an alternative to synthetic chemicals and drugs. The consumer demand for essential oil products greatly depends on oil concentration and purity. Furthermore, for industrial standards, essential oil production must be maximized while maintaining reasonable quality, which can be achieved through the advancement of extraction technology. Hence, many research efforts involving the distillation process, from advanced to conventional schemes, have aimed to establish and improve techniques for enhancing the quality and production volumes of essential oil. Based on common practice, the steam distillation technique is still preferred and applied in many industrial and research areas due to several factors such as system cost, cleanliness, productivity, and operational cost [5], and its reliability for the mass production of essential oil [6, 7]…
format Thesis
author Kasuan, Nurhani
spellingShingle Kasuan, Nurhani
Modeling and control of steam distillation in essential oil extraction system using fuzzy model reference learning control (FMRLC) / Nurhani Kasuan
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
publishDate 2016
url https://ir.uitm.edu.my/id/eprint/18580/1/18580.pdf
https://ir.uitm.edu.my/id/eprint/18580/
_version_ 1726795635997278208
score 13.211869

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