Adaptive neuro-fuzzy control of wet scrubbing process

The nonlinear characteristics of wet scrubbing process have led to the application of intelligent control technique to adequately deal with these complexities by manipulating the liquid droplet size for the effective control of particulate matter (PM) contaminants. This includes the use of adaptive...

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Main Authors:	Salami, Momoh Jimoh Eyiomika, Danzomo, Bashir Ahmed, Khan, Md. Raisuddin
Format:	Conference or Workshop Item
Language:	English English
Published:	IEEE 2015
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/45227/ http://irep.iium.edu.my/45227/ http://irep.iium.edu.my/45227/ http://irep.iium.edu.my/45227/1/45227.pdf http://irep.iium.edu.my/45227/4/45227_Adaptive%20neuro-fuzzy%20control%20of%20wet_Scopus.pdf

id	iium-45227
recordtype	eprints
spelling	iium-452272017-09-23T06:51:01Z http://irep.iium.edu.my/45227/ Adaptive neuro-fuzzy control of wet scrubbing process Salami, Momoh Jimoh Eyiomika Danzomo, Bashir Ahmed Khan, Md. Raisuddin QA75 Electronic computers. Computer science The nonlinear characteristics of wet scrubbing process have led to the application of intelligent control technique to adequately deal with these complexities by manipulating the liquid droplet size for the effective control of particulate matter (PM) contaminants. This includes the use of adaptive neuro-fuzzy inference system (ANFIS) to design an intelligent controller based on direct inverse model control strategy using default input and output membership functions (gaussmf and linear) and different number of input membership functions. This is followed by training of the fuzzy inference system to obtain inverse model which was tested as the intelligent controller. The controller developed using two-input membership functions have successfully achieved the main target of setting the PM concentration (process output) below the set point which is the allowable World health organization (WHO) emission level for 20g/μm3 within a short settling time of 2s. IEEE 2015 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/45227/1/45227.pdf application/pdf en http://irep.iium.edu.my/45227/4/45227_Adaptive%20neuro-fuzzy%20control%20of%20wet_Scopus.pdf Salami, Momoh Jimoh Eyiomika and Danzomo, Bashir Ahmed and Khan, Md. Raisuddin (2015) Adaptive neuro-fuzzy control of wet scrubbing process. In: 2015 10th Asian Control Conference (ASCC), 29th May-3rd June 2015, Kota Kinabalu, Sabah. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7244419&punumber%3D7209153%26filter%3DAND(p_IS_Number%3A7244373)%26pageNumber%3D2 10.1109/ASCC.2015.7244419
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Salami, Momoh Jimoh Eyiomika Danzomo, Bashir Ahmed Khan, Md. Raisuddin Adaptive neuro-fuzzy control of wet scrubbing process
description	The nonlinear characteristics of wet scrubbing process have led to the application of intelligent control technique to adequately deal with these complexities by manipulating the liquid droplet size for the effective control of particulate matter (PM) contaminants. This includes the use of adaptive neuro-fuzzy inference system (ANFIS) to design an intelligent controller based on direct inverse model control strategy using default input and output membership functions (gaussmf and linear) and different number of input membership functions. This is followed by training of the fuzzy inference system to obtain inverse model which was tested as the intelligent controller. The controller developed using two-input membership functions have successfully achieved the main target of setting the PM concentration (process output) below the set point which is the allowable World health organization (WHO) emission level for 20g/μm3 within a short settling time of 2s.
format	Conference or Workshop Item
author	Salami, Momoh Jimoh Eyiomika Danzomo, Bashir Ahmed Khan, Md. Raisuddin
author_facet	Salami, Momoh Jimoh Eyiomika Danzomo, Bashir Ahmed Khan, Md. Raisuddin
author_sort	Salami, Momoh Jimoh Eyiomika
title	Adaptive neuro-fuzzy control of wet scrubbing process
title_short	Adaptive neuro-fuzzy control of wet scrubbing process
title_full	Adaptive neuro-fuzzy control of wet scrubbing process
title_fullStr	Adaptive neuro-fuzzy control of wet scrubbing process
title_full_unstemmed	Adaptive neuro-fuzzy control of wet scrubbing process
title_sort	adaptive neuro-fuzzy control of wet scrubbing process
publisher	IEEE
publishDate	2015
url	http://irep.iium.edu.my/45227/ http://irep.iium.edu.my/45227/ http://irep.iium.edu.my/45227/ http://irep.iium.edu.my/45227/1/45227.pdf http://irep.iium.edu.my/45227/4/45227_Adaptive%20neuro-fuzzy%20control%20of%20wet_Scopus.pdf
first_indexed	2023-09-18T21:04:22Z
last_indexed	2023-09-18T21:04:22Z
_version_	1777410834377474048

Adaptive neuro-fuzzy control of wet scrubbing process

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