Modeling and control of an aeration tank using artificial neural network

In recent years Industrial processes produce a variety of waste water pollutants, some are difficult and/or costly to treat. Waste water characteristics and level of pollutants vary significantly by industry. The task of various waste water control system is to adjust the amount of impurities in the...

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Main Author:	Zareifard, Mohammad Tagh
Format:	Thesis
Published:	2010
Subjects:	TK Electrical engineering Electronics Nuclear engineering
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id	my-utm-ep.26850
record_format	uketd_dc
spelling	my-utm-ep.268502017-08-23T07:45:15Z Modeling and control of an aeration tank using artificial neural network 2010 Zareifard, Mohammad Tagh TK Electrical engineering. Electronics Nuclear engineering In recent years Industrial processes produce a variety of waste water pollutants, some are difficult and/or costly to treat. Waste water characteristics and level of pollutants vary significantly by industry. The task of various waste water control system is to adjust the amount of impurities in the process stream into the defined acceptable discharge range Many uncertain factors affect the operation of Wastewater Treatment Plants. Due to the complexity of biological wastewater treatment processes, classical methods show significant difficulties when trying to control them automatically. Consequently soft computing techniques and, specifically, Artificial Neural Network appears to be a good candidate for controlling these ill-defined, time-varying and non-linear systems. This paper describes the development and implementation of a Artificial Neural Network Controller to regulate the dissolve oxygen in an aeration tank. The main goal of this control process is to save energy without decreasing the quality of the effluent discharged. The simulation results proved that Neural Network is a good tool for controlling the aeration of the wastewater treatment plant. 2010 Thesis http://eprints.utm.my/id/eprint/26850/ http://libraryopac.utm.my/client/en_AU/main/search/results?qu=Modeling+and+control+of+an+aeration+tank+using+artificial+neural+network&te= masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Zareifard, Mohammad Tagh Modeling and control of an aeration tank using artificial neural network
description	In recent years Industrial processes produce a variety of waste water pollutants, some are difficult and/or costly to treat. Waste water characteristics and level of pollutants vary significantly by industry. The task of various waste water control system is to adjust the amount of impurities in the process stream into the defined acceptable discharge range Many uncertain factors affect the operation of Wastewater Treatment Plants. Due to the complexity of biological wastewater treatment processes, classical methods show significant difficulties when trying to control them automatically. Consequently soft computing techniques and, specifically, Artificial Neural Network appears to be a good candidate for controlling these ill-defined, time-varying and non-linear systems. This paper describes the development and implementation of a Artificial Neural Network Controller to regulate the dissolve oxygen in an aeration tank. The main goal of this control process is to save energy without decreasing the quality of the effluent discharged. The simulation results proved that Neural Network is a good tool for controlling the aeration of the wastewater treatment plant.
format	Thesis
qualification_level	Master's degree
author	Zareifard, Mohammad Tagh
author_facet	Zareifard, Mohammad Tagh
author_sort	Zareifard, Mohammad Tagh
title	Modeling and control of an aeration tank using artificial neural network
title_short	Modeling and control of an aeration tank using artificial neural network
title_full	Modeling and control of an aeration tank using artificial neural network
title_fullStr	Modeling and control of an aeration tank using artificial neural network
title_full_unstemmed	Modeling and control of an aeration tank using artificial neural network
title_sort	modeling and control of an aeration tank using artificial neural network
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2010
_version_	1747815526170624000

Modeling and control of an aeration tank using artificial neural network

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