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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/45227/1/45227.pdf
http://irep.iium.edu.my/45227/4/45227_Adaptive%20neuro-fuzzy%20control%20of%20wet_Scopus.pdf
http://irep.iium.edu.my/45227/
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7244419&punumber%3D7209153%26filter%3DAND(p_IS_Number%3A7244373)%26pageNumber%3D2
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spelling my.iium.irep.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 REM 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
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
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/45227/1/45227.pdf
http://irep.iium.edu.my/45227/4/45227_Adaptive%20neuro-fuzzy%20control%20of%20wet_Scopus.pdf
http://irep.iium.edu.my/45227/
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7244419&punumber%3D7209153%26filter%3DAND(p_IS_Number%3A7244373)%26pageNumber%3D2
_version_ 1643612745454583808
score 13.211869

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