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Direct Adaptive Predictive Control For Wastewater Treatment Plant

Ezreen Farina, Shair (2010) Direct Adaptive Predictive Control For Wastewater Treatment Plant. Masters thesis, Universiti Teknologi Malaysia.

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Abstract

The purpose of this study was to design a much simpler control method for a wastewater treatment plant. The work in this report proposes a direct adaptive predictive control (DAMPC) also known as subspace predictive control (SPC) as a solution to the conventional one. The adaptive control structure is based on the linear model of the process and combined with numerical algorithm for subspace state space system identification (N4SID). This N4SID plays the role of the software sensor for on-line estimation of prediction matrices and control matrices of the bioprocess, joint together with model predictive control (MPC) in order to obtain the optimal control sequence. The performances of both estimation and control algorithms are illustrated by simulation results. Stability analysis is done to investigate the response of the system proposed when parameter changes exist. This project proves that subspace-adaptive method has a large number of important and useful advantages, primarily the application ability to multi input multi output (MIMO) systems, and the low requirements on prior system information. Given the advantages observed, the most likely areas of application for the proposed algorithm are multivariable processes, about which little information is known such as this wastewater treatment plant. Hence, direct adaptive predictive control (DAMPC) can provide simplicity, good performance and stability robustness in of an activated sludge process.

Item Type: Thesis (Masters)
Uncontrolled Keywords: Water treatment plants, Sewage disposal plants, Water -- Purification, Sewage -- Purification
Subjects: T Technology > T Technology (General)
T Technology > TD Environmental technology. Sanitary engineering
Divisions: Library > Tesis > FKE
Depositing User: Nor Aini Md. Jali
Date Deposited: 05 Dec 2014 10:29
Last Modified: 28 May 2015 04:34
URI: http://eprints.utem.edu.my/id/eprint/13822

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