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:	http://ir.uitm.edu.my/id/eprint/18580/ http://ir.uitm.edu.my/id/eprint/18580/1/TP_NURHANI%20KASUAN%20EE%2016_5.pdf

id	uitm-18580
recordtype	eprints
spelling	uitm-185802018-01-05T03:05:26Z http://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 http://ir.uitm.edu.my/id/eprint/18580/1/TP_NURHANI%20KASUAN%20EE%2016_5.pdf 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, Universiti Teknologi MARA.
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
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	http://ir.uitm.edu.my/id/eprint/18580/ http://ir.uitm.edu.my/id/eprint/18580/1/TP_NURHANI%20KASUAN%20EE%2016_5.pdf
first_indexed	2023-09-18T23:00:51Z
last_indexed	2023-09-18T23:00:51Z
_version_	1777418162683248640

Modeling and control of steam distillation in essential oil extraction system using fuzzy model reference learning control (FMRLC) / Nurhani Kasuan

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