A supervisory fuzzy logic control scheme to improve effluent quality of a wastewater treatment plant

The application of control strategies in wastewater treatment plants has increased to improve their performance for treating influent. The fuzzy logic controller plays a vital role in this work and simulation work was carried out in a benchmark simulation model no.1 (BSM1) framework. The attempted w...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	S. Saravana Kumar, K. Latha
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	ammonia control asm1 bsm1 flc pi controller total nitrogen control Environmental technology. Sanitary engineering TD1-1066
Acceso en línea:	https://doaj.org/article/bddcfa7f217248139ff1ecc1b89f6865
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:bddcfa7f217248139ff1ecc1b89f6865
record_format	dspace
spelling	oai:doaj.org-article:bddcfa7f217248139ff1ecc1b89f68652021-12-02T07:41:39ZA supervisory fuzzy logic control scheme to improve effluent quality of a wastewater treatment plant0273-12231996-973210.2166/wst.2021.225https://doaj.org/article/bddcfa7f217248139ff1ecc1b89f68652021-11-01T00:00:00Zhttp://wst.iwaponline.com/content/84/10-11/3415https://doaj.org/toc/0273-1223https://doaj.org/toc/1996-9732The application of control strategies in wastewater treatment plants has increased to improve their performance for treating influent. The fuzzy logic controller plays a vital role in this work and simulation work was carried out in a benchmark simulation model no.1 (BSM1) framework. The attempted work proposes two control schemes with the objectives of improving the effluent quality and minimizing the number of measurements taken from the plant. The design of fuzzy control schemes is based on five inputs and six outputs in order to accomplish the objectives. Experimental results show improvement in the effluent quality and increase in the efficacy of the control system. The proposed design is implemented using MATLAB with the adaptation in 2014a. HIGHLIGHTS Novel control schemes with minimum number of measurements for a BSM1 plant.; Removal of effluent ammonia violation with minimum aeration energy usage.; Control techniques to improve effluent quality using Fuzzy and PI algorithms.; Effective control schemes to protect the environment.;S. Saravana KumarK. LathaIWA Publishingarticleammonia controlasm1bsm1flcpi controllertotal nitrogen controlEnvironmental technology. Sanitary engineeringTD1-1066ENWater Science and Technology, Vol 84, Iss 10-11, Pp 3415-3424 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	ammonia control asm1 bsm1 flc pi controller total nitrogen control Environmental technology. Sanitary engineering TD1-1066
spellingShingle	ammonia control asm1 bsm1 flc pi controller total nitrogen control Environmental technology. Sanitary engineering TD1-1066 S. Saravana Kumar K. Latha A supervisory fuzzy logic control scheme to improve effluent quality of a wastewater treatment plant
description	The application of control strategies in wastewater treatment plants has increased to improve their performance for treating influent. The fuzzy logic controller plays a vital role in this work and simulation work was carried out in a benchmark simulation model no.1 (BSM1) framework. The attempted work proposes two control schemes with the objectives of improving the effluent quality and minimizing the number of measurements taken from the plant. The design of fuzzy control schemes is based on five inputs and six outputs in order to accomplish the objectives. Experimental results show improvement in the effluent quality and increase in the efficacy of the control system. The proposed design is implemented using MATLAB with the adaptation in 2014a. HIGHLIGHTS Novel control schemes with minimum number of measurements for a BSM1 plant.; Removal of effluent ammonia violation with minimum aeration energy usage.; Control techniques to improve effluent quality using Fuzzy and PI algorithms.; Effective control schemes to protect the environment.;
format	article
author	S. Saravana Kumar K. Latha
author_facet	S. Saravana Kumar K. Latha
author_sort	S. Saravana Kumar
title	A supervisory fuzzy logic control scheme to improve effluent quality of a wastewater treatment plant
title_short	A supervisory fuzzy logic control scheme to improve effluent quality of a wastewater treatment plant
title_full	A supervisory fuzzy logic control scheme to improve effluent quality of a wastewater treatment plant
title_fullStr	A supervisory fuzzy logic control scheme to improve effluent quality of a wastewater treatment plant
title_full_unstemmed	A supervisory fuzzy logic control scheme to improve effluent quality of a wastewater treatment plant
title_sort	supervisory fuzzy logic control scheme to improve effluent quality of a wastewater treatment plant
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/bddcfa7f217248139ff1ecc1b89f6865
work_keys_str_mv	AT ssaravanakumar asupervisoryfuzzylogiccontrolschemetoimproveeffluentqualityofawastewatertreatmentplant AT klatha asupervisoryfuzzylogiccontrolschemetoimproveeffluentqualityofawastewatertreatmentplant AT ssaravanakumar supervisoryfuzzylogiccontrolschemetoimproveeffluentqualityofawastewatertreatmentplant AT klatha supervisoryfuzzylogiccontrolschemetoimproveeffluentqualityofawastewatertreatmentplant
_version_	1718399244369395712

A supervisory fuzzy logic control scheme to improve effluent quality of a wastewater treatment plant

Ejemplares similares