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: | |
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| Format: | Final Year Project Report |
| Language: | English English |
| Published: |
Universiti Malaysia Sarawak
2022
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| Subjects: | |
| 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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| Summary: | 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. |
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