Nonlinear proportional integral controller with adaptive interaction algorithm for nonlinear activated sludge process

Wastewater Treatment Plant (WWTP) is highly complex with the nonlinearity of control parameters and difficult to be controlled. The need for simple but effective control strategy to handle the nonlinearities of the wastewater plant is obviously demanded. The thesis emphasizes on multivariable model...

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Main Author:	Samsudin, Sharatul Izah
Format:	Thesis
Language:	English
Published:	2016
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/77913/1/SharatulIzahSamsudinPFKE2016.pdf
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id	my-utm-ep.77913
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spelling	my-utm-ep.779132018-07-18T07:36:34Z Nonlinear proportional integral controller with adaptive interaction algorithm for nonlinear activated sludge process 2016-01 Samsudin, Sharatul Izah TK Electrical engineering. Electronics Nuclear engineering Wastewater Treatment Plant (WWTP) is highly complex with the nonlinearity of control parameters and difficult to be controlled. The need for simple but effective control strategy to handle the nonlinearities of the wastewater plant is obviously demanded. The thesis emphasizes on multivariable model identification and nonlinear proportional integral (PI) controller to improve the operation of wastewater plant. Good models were resulted by subspace method based on N4SID algorithm with generated multi-level input signal. The nonlinear PI controller (Non- PI) with adaptive rate variation was developed to accommodate the nonlinearity of the WWTP, and hence, improving the adaptability and robustness of the classical linear PI controller. The Non-PI was designed by cascading a sector-bounded nonlinear gain to linear PI while the rate variation is adapted based on adaptive interaction algorithm. The effectiveness of the Non-PI has been proven by significant improvement under various dynamic influents. In the process of activated sludge, better average effluent qualities, less number and percentage of effluent violations were resulted. Besides, more than 30% of integral squared error and 14% of integral absolute error were reduced by the Non-PI controller compared to the benchmark PI for dissolved oxygen control and nitrate in nitrogen removal control, respectively. 2016-01 Thesis http://eprints.utm.my/id/eprint/77913/ http://eprints.utm.my/id/eprint/77913/1/SharatulIzahSamsudinPFKE2016.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:97423 phd doctoral Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Samsudin, Sharatul Izah Nonlinear proportional integral controller with adaptive interaction algorithm for nonlinear activated sludge process
description	Wastewater Treatment Plant (WWTP) is highly complex with the nonlinearity of control parameters and difficult to be controlled. The need for simple but effective control strategy to handle the nonlinearities of the wastewater plant is obviously demanded. The thesis emphasizes on multivariable model identification and nonlinear proportional integral (PI) controller to improve the operation of wastewater plant. Good models were resulted by subspace method based on N4SID algorithm with generated multi-level input signal. The nonlinear PI controller (Non- PI) with adaptive rate variation was developed to accommodate the nonlinearity of the WWTP, and hence, improving the adaptability and robustness of the classical linear PI controller. The Non-PI was designed by cascading a sector-bounded nonlinear gain to linear PI while the rate variation is adapted based on adaptive interaction algorithm. The effectiveness of the Non-PI has been proven by significant improvement under various dynamic influents. In the process of activated sludge, better average effluent qualities, less number and percentage of effluent violations were resulted. Besides, more than 30% of integral squared error and 14% of integral absolute error were reduced by the Non-PI controller compared to the benchmark PI for dissolved oxygen control and nitrate in nitrogen removal control, respectively.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Samsudin, Sharatul Izah
author_facet	Samsudin, Sharatul Izah
author_sort	Samsudin, Sharatul Izah
title	Nonlinear proportional integral controller with adaptive interaction algorithm for nonlinear activated sludge process
title_short	Nonlinear proportional integral controller with adaptive interaction algorithm for nonlinear activated sludge process
title_full	Nonlinear proportional integral controller with adaptive interaction algorithm for nonlinear activated sludge process
title_fullStr	Nonlinear proportional integral controller with adaptive interaction algorithm for nonlinear activated sludge process
title_full_unstemmed	Nonlinear proportional integral controller with adaptive interaction algorithm for nonlinear activated sludge process
title_sort	nonlinear proportional integral controller with adaptive interaction algorithm for nonlinear activated sludge process
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2016
url	http://eprints.utm.my/id/eprint/77913/1/SharatulIzahSamsudinPFKE2016.pdf
_version_	1747817861495128064

Nonlinear proportional integral controller with adaptive interaction algorithm for nonlinear activated sludge process

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