Control of particulate matter (PM) emissions from industrial plant using ANFIS based controller

In recent times, the negative effect of air pollution such as particulate matter (PM) emitted from industrial plants has compelled researchers in finding efficient control system to control such pollutants in order to keep the environment safe. The aim of this study is to develop a reliable method...

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Main Authors:	Sambo, Aliyu Umar, Babawuro, Adamu Y., Salami, Momoh Jimoh Eyiomika, Khan, Md. Raisuddin
Format:	Article
Language:	English English
Published:	Asian Research Publishing Network (ARPN) 2016
Subjects:	QD Chemistry T Technology (General) TD Environmental technology. Sanitary engineering
Online Access:	http://irep.iium.edu.my/49347/ http://irep.iium.edu.my/49347/ http://irep.iium.edu.my/49347/1/49347_Control%20of%20particulate%20matter.pdf http://irep.iium.edu.my/49347/2/49347_Control%20of%20particulate%20matter_SCOPUS.pdf

id	iium-49347
recordtype	eprints
spelling	iium-493472017-04-10T01:35:02Z http://irep.iium.edu.my/49347/ Control of particulate matter (PM) emissions from industrial plant using ANFIS based controller Sambo, Aliyu Umar Babawuro, Adamu Y. Salami, Momoh Jimoh Eyiomika Khan, Md. Raisuddin QD Chemistry T Technology (General) TD Environmental technology. Sanitary engineering In recent times, the negative effect of air pollution such as particulate matter (PM) emitted from industrial plants has compelled researchers in finding efficient control system to control such pollutants in order to keep the environment safe. The aim of this study is to develop a reliable method of controlling the emissions of PM using wet scrubber system as a control device. The process of a wet scrubber is nonlinear in nature. Due to difficulty in selecting optimum scrubbing liquid droplet size in wet scrubbing process, the system becomes complex. Thus, Adaptive Neuro Fuzzy Inference System (ANFIS) based control technique is employed in this paper to handle the nonlinearities. ANFIS control technique has the advantage to integrate fuzzy logic systems and learning ability of neural network, thus able to handle nonlinear systems better. The controller is developed using data of PM emission from cement kiln. The system is simulated using triangular and trapezoidal membership function (MF) with 2 and 3 input MF in each case. The performance of the controller is evaluated based on settling time. The results indicated that the developed controller was able to maintain the PM emission below a set point of 20µg/m3 which is the maximum allowable PM emission limit recommended by world health organization (WHO). The controller with 2 input triangular membership functions indicated a better performance with a settling time of 5.2 seconds. Asian Research Publishing Network (ARPN) 2016-01 Article PeerReviewed application/pdf en http://irep.iium.edu.my/49347/1/49347_Control%20of%20particulate%20matter.pdf application/pdf en http://irep.iium.edu.my/49347/2/49347_Control%20of%20particulate%20matter_SCOPUS.pdf Sambo, Aliyu Umar and Babawuro, Adamu Y. and Salami, Momoh Jimoh Eyiomika and Khan, Md. Raisuddin (2016) Control of particulate matter (PM) emissions from industrial plant using ANFIS based controller. ARPN Journal of Engineering and Applied Sciences, 11 (1). pp. 404-409. ISSN 1819-6608 http://www.arpnjournals.org/jeas/research_papers/rp_2016/jeas_0116_3352.pdf
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	QD Chemistry T Technology (General) TD Environmental technology. Sanitary engineering
spellingShingle	QD Chemistry T Technology (General) TD Environmental technology. Sanitary engineering Sambo, Aliyu Umar Babawuro, Adamu Y. Salami, Momoh Jimoh Eyiomika Khan, Md. Raisuddin Control of particulate matter (PM) emissions from industrial plant using ANFIS based controller
description	In recent times, the negative effect of air pollution such as particulate matter (PM) emitted from industrial plants has compelled researchers in finding efficient control system to control such pollutants in order to keep the environment safe. The aim of this study is to develop a reliable method of controlling the emissions of PM using wet scrubber system as a control device. The process of a wet scrubber is nonlinear in nature. Due to difficulty in selecting optimum scrubbing liquid droplet size in wet scrubbing process, the system becomes complex. Thus, Adaptive Neuro Fuzzy Inference System (ANFIS) based control technique is employed in this paper to handle the nonlinearities. ANFIS control technique has the advantage to integrate fuzzy logic systems and learning ability of neural network, thus able to handle nonlinear systems better. The controller is developed using data of PM emission from cement kiln. The system is simulated using triangular and trapezoidal membership function (MF) with 2 and 3 input MF in each case. The performance of the controller is evaluated based on settling time. The results indicated that the developed controller was able to maintain the PM emission below a set point of 20µg/m3 which is the maximum allowable PM emission limit recommended by world health organization (WHO). The controller with 2 input triangular membership functions indicated a better performance with a settling time of 5.2 seconds.
format	Article
author	Sambo, Aliyu Umar Babawuro, Adamu Y. Salami, Momoh Jimoh Eyiomika Khan, Md. Raisuddin
author_facet	Sambo, Aliyu Umar Babawuro, Adamu Y. Salami, Momoh Jimoh Eyiomika Khan, Md. Raisuddin
author_sort	Sambo, Aliyu Umar
title	Control of particulate matter (PM) emissions from industrial plant using ANFIS based controller
title_short	Control of particulate matter (PM) emissions from industrial plant using ANFIS based controller
title_full	Control of particulate matter (PM) emissions from industrial plant using ANFIS based controller
title_fullStr	Control of particulate matter (PM) emissions from industrial plant using ANFIS based controller
title_full_unstemmed	Control of particulate matter (PM) emissions from industrial plant using ANFIS based controller
title_sort	control of particulate matter (pm) emissions from industrial plant using anfis based controller
publisher	Asian Research Publishing Network (ARPN)
publishDate	2016
url	http://irep.iium.edu.my/49347/ http://irep.iium.edu.my/49347/ http://irep.iium.edu.my/49347/1/49347_Control%20of%20particulate%20matter.pdf http://irep.iium.edu.my/49347/2/49347_Control%20of%20particulate%20matter_SCOPUS.pdf
first_indexed	2023-09-18T21:09:48Z
last_indexed	2023-09-18T21:09:48Z
_version_	1777411176060157952

Control of particulate matter (PM) emissions from industrial plant using ANFIS based controller

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