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ADAPTIVE ITERATIVE LEARNING CONTROL WITH PROPORTIONAL INTEGRAL AMMONIUM BASED AERATION CONTROL (ILC-PI-ABAC)

Wastewater treatment is a complex dynamic system with wide number of states and parameters that process focus on the attainment of environmental objectives. WWTPs are prone to large perturbations in the entering stream and uncertainty in influent composition. Besides, complex interactions in b...

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Main Author: WILLYSON ANAK STEWARD, -
Format: Final Year Project Report
Language:English
English
Published: Universiti Malaysia Sarawak 2022
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://ir.unimas.my/id/eprint/39470/1/Willyson%20Anak%20Steward%20-%20%2024pages.pdf
http://ir.unimas.my/id/eprint/39470/4/Willyson%20ft.pdf
http://ir.unimas.my/id/eprint/39470/
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spelling my.unimas.ir.394702024-09-24T01:25:09Z http://ir.unimas.my/id/eprint/39470/ ADAPTIVE ITERATIVE LEARNING CONTROL WITH PROPORTIONAL INTEGRAL AMMONIUM BASED AERATION CONTROL (ILC-PI-ABAC) WILLYSON ANAK STEWARD, - TK Electrical engineering. Electronics Nuclear engineering Wastewater treatment is a complex dynamic system with wide number of states and parameters that process focus on the attainment of environmental objectives. WWTPs are prone to large perturbations in the entering stream and uncertainty in influent composition. Besides, complex interactions in biological processes within the ASP and nonlinearity of the control parameters, let to big challenges in optimisation of WWTP operation. Therefore, controlling the concentration of dissolve oxygen is the main objective and to provide sufficient and optimum amount of DO according to the microorganism's oxygen demand is important to running the plant with the least amount of energy. Thus, in this study, the idea of ILC with PI-ABAC feedback regulator is proposed to provide improvement in controlling DO level through incorporation and data learning of iteration data. The performance assessment of the proposed controller is carried out using Benchmark Simulation Model No 1 for three different influent condition which are dry, rain and storm influent. Assessment takes into account three main aspects which are evaluation in term of effluent violations, effluent average concentrations and evaluation based on the total operational cost index (OCI), average aeration energy per day (AE) and effluent quality (EQ) index. Comparison results with performance of default PI controller show improvement in majority of the measured parameter in term of effluent quality and reduction in effluent violation. In addition, ILC-PI- ABAC also contribute to reduction in energy consumption of the wastewater treatment plant with reduction of 23% to 24 % of average aeration energy per day. For the improvement of the control system, some of the approaches suggested is performance evaluation that involve first and second stage evaluation in order to obtain the data of plant performance and the control system. Therefore, providing sufficient data needed in measurement of the effectiveness of the proposed control system. In addition, the addition of the Simulink model for the ILC control monitoring system has been proposed to enable researchers to further monitor and analyse the ILC control system. Universiti Malaysia Sarawak 2022 Final Year Project Report NonPeerReviewed text en http://ir.unimas.my/id/eprint/39470/1/Willyson%20Anak%20Steward%20-%20%2024pages.pdf text en http://ir.unimas.my/id/eprint/39470/4/Willyson%20ft.pdf WILLYSON ANAK STEWARD, - (2022) ADAPTIVE ITERATIVE LEARNING CONTROL WITH PROPORTIONAL INTEGRAL AMMONIUM BASED AERATION CONTROL (ILC-PI-ABAC). [Final Year Project Report] (Unpublished)
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
WILLYSON ANAK STEWARD, -
ADAPTIVE ITERATIVE LEARNING CONTROL WITH PROPORTIONAL INTEGRAL AMMONIUM BASED AERATION CONTROL (ILC-PI-ABAC)
description Wastewater treatment is a complex dynamic system with wide number of states and parameters that process focus on the attainment of environmental objectives. WWTPs are prone to large perturbations in the entering stream and uncertainty in influent composition. Besides, complex interactions in biological processes within the ASP and nonlinearity of the control parameters, let to big challenges in optimisation of WWTP operation. Therefore, controlling the concentration of dissolve oxygen is the main objective and to provide sufficient and optimum amount of DO according to the microorganism's oxygen demand is important to running the plant with the least amount of energy. Thus, in this study, the idea of ILC with PI-ABAC feedback regulator is proposed to provide improvement in controlling DO level through incorporation and data learning of iteration data. The performance assessment of the proposed controller is carried out using Benchmark Simulation Model No 1 for three different influent condition which are dry, rain and storm influent. Assessment takes into account three main aspects which are evaluation in term of effluent violations, effluent average concentrations and evaluation based on the total operational cost index (OCI), average aeration energy per day (AE) and effluent quality (EQ) index. Comparison results with performance of default PI controller show improvement in majority of the measured parameter in term of effluent quality and reduction in effluent violation. In addition, ILC-PI- ABAC also contribute to reduction in energy consumption of the wastewater treatment plant with reduction of 23% to 24 % of average aeration energy per day. For the improvement of the control system, some of the approaches suggested is performance evaluation that involve first and second stage evaluation in order to obtain the data of plant performance and the control system. Therefore, providing sufficient data needed in measurement of the effectiveness of the proposed control system. In addition, the addition of the Simulink model for the ILC control monitoring system has been proposed to enable researchers to further monitor and analyse the ILC control system.
format Final Year Project Report
author WILLYSON ANAK STEWARD, -
author_facet WILLYSON ANAK STEWARD, -
author_sort WILLYSON ANAK STEWARD, -
title ADAPTIVE ITERATIVE LEARNING CONTROL WITH PROPORTIONAL INTEGRAL AMMONIUM BASED AERATION CONTROL (ILC-PI-ABAC)
title_short ADAPTIVE ITERATIVE LEARNING CONTROL WITH PROPORTIONAL INTEGRAL AMMONIUM BASED AERATION CONTROL (ILC-PI-ABAC)
title_full ADAPTIVE ITERATIVE LEARNING CONTROL WITH PROPORTIONAL INTEGRAL AMMONIUM BASED AERATION CONTROL (ILC-PI-ABAC)
title_fullStr ADAPTIVE ITERATIVE LEARNING CONTROL WITH PROPORTIONAL INTEGRAL AMMONIUM BASED AERATION CONTROL (ILC-PI-ABAC)
title_full_unstemmed ADAPTIVE ITERATIVE LEARNING CONTROL WITH PROPORTIONAL INTEGRAL AMMONIUM BASED AERATION CONTROL (ILC-PI-ABAC)
title_sort adaptive iterative learning control with proportional integral ammonium based aeration control (ilc-pi-abac)
publisher Universiti Malaysia Sarawak
publishDate 2022
url http://ir.unimas.my/id/eprint/39470/1/Willyson%20Anak%20Steward%20-%20%2024pages.pdf
http://ir.unimas.my/id/eprint/39470/4/Willyson%20ft.pdf
http://ir.unimas.my/id/eprint/39470/
_version_ 1811600367656370176
score 13.211869

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