Analysis and design of a linear input /output data-based predictive control

A subspace identification algorithm is reformulated from a control point of view. Model Predictive Control (MPC) is defined as a category of control system that determines the control trajectory that will result in an optimized future behavior of a plant. Typical design of predictive controllers sta...

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Main Author:	Zakaria, Muhammad Iqbal
Format:	Thesis
Language:	English
Published:	2012
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/31875/5/MuhammadIqbalZakariaMFKE2012.pdf
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id	my-utm-ep.31875
record_format	uketd_dc
spelling	my-utm-ep.318752018-05-27T07:09:45Z Analysis and design of a linear input /output data-based predictive control 2012-01 Zakaria, Muhammad Iqbal TK Electrical engineering. Electronics Nuclear engineering A subspace identification algorithm is reformulated from a control point of view. Model Predictive Control (MPC) is defined as a category of control system that determines the control trajectory that will result in an optimized future behavior of a plant. Typical design of predictive controllers starts with identification of parametric model using plant input and output data. Then, predictor matrices can be obtained from the model. Next, the predictor matrices are used to obtained predictions for the process output which are used in the controller design. In this work, however, the predictive controller can be obtained directly from input and output data by using the subspace matrices. Therefore, this method eliminates the intermediate step of parametric model identification. The comprehension of this concept is discussed and the implementation of predictive controller is done virtually by using MATLAB simulation. The proposed linear input/output data-based predictive controller is applied to the property control of an activated sludge plant. A typical control problem such as variation of set-point tracking has shown that the proposed controller demonstrates satisfactory control performance. 2012-01 Thesis http://eprints.utm.my/id/eprint/31875/ http://eprints.utm.my/id/eprint/31875/5/MuhammadIqbalZakariaMFKE2012.pdf application/pdf en public masters 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 Zakaria, Muhammad Iqbal Analysis and design of a linear input /output data-based predictive control
description	A subspace identification algorithm is reformulated from a control point of view. Model Predictive Control (MPC) is defined as a category of control system that determines the control trajectory that will result in an optimized future behavior of a plant. Typical design of predictive controllers starts with identification of parametric model using plant input and output data. Then, predictor matrices can be obtained from the model. Next, the predictor matrices are used to obtained predictions for the process output which are used in the controller design. In this work, however, the predictive controller can be obtained directly from input and output data by using the subspace matrices. Therefore, this method eliminates the intermediate step of parametric model identification. The comprehension of this concept is discussed and the implementation of predictive controller is done virtually by using MATLAB simulation. The proposed linear input/output data-based predictive controller is applied to the property control of an activated sludge plant. A typical control problem such as variation of set-point tracking has shown that the proposed controller demonstrates satisfactory control performance.
format	Thesis
qualification_level	Master's degree
author	Zakaria, Muhammad Iqbal
author_facet	Zakaria, Muhammad Iqbal
author_sort	Zakaria, Muhammad Iqbal
title	Analysis and design of a linear input /output data-based predictive control
title_short	Analysis and design of a linear input /output data-based predictive control
title_full	Analysis and design of a linear input /output data-based predictive control
title_fullStr	Analysis and design of a linear input /output data-based predictive control
title_full_unstemmed	Analysis and design of a linear input /output data-based predictive control
title_sort	analysis and design of a linear input /output data-based predictive control
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2012
url	http://eprints.utm.my/id/eprint/31875/5/MuhammadIqbalZakariaMFKE2012.pdf
_version_	1747815866680999936

Analysis and design of a linear input /output data-based predictive control

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