Cascade Control of a Residual Water Blunting System

In this paper, a solution for the automatic control of a residual water blunting system is proposed. The blunting technological process, being a distributed parameter one, is modeled using partial differential equations. This approach implies very big technological advantages due to the fact that...

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Main Authors: MURESAN, V., ABRUDEAN, M., UNGURESAN, M.-L., COLOSI, T.
Format: Article
Language:English
Published: Stefan cel Mare University of Suceava 2014-05-01
Series:Advances in Electrical and Computer Engineering
Subjects:
Online Access:http://dx.doi.org/10.4316/AECE.2014.02022
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spelling doaj-90494a900bb048fd968f5c5b61d916ae2020-11-24T23:25:30ZengStefan cel Mare University of SuceavaAdvances in Electrical and Computer Engineering1582-74451844-76002014-05-0114213514410.4316/AECE.2014.02022Cascade Control of a Residual Water Blunting SystemMURESAN, V.ABRUDEAN, M.UNGURESAN, M.-L.COLOSI, T. In this paper, a solution for the automatic control of a residual water blunting system is proposed. The blunting technological process, being a distributed parameter one, is modeled using partial differential equations. This approach implies very big technological advantages due to the fact that the user has access to the pH value in each point of the tanks of the blunting system. Another element of originality is the inclusion of a distributed parameter process in a control structure, having the possibility to maintain the pH value constant in each point in the volume of the liquid from the system. A method based on the matrix of partial derivatives of the state vector (Mpdx) associated with Taylor series is used for the modeling-simulation of both the blunting process and the control system. The results assured by a simple control structure are not sufficient due to the restrictive imposed performances, so a cascade structure is treated in the paper. http://dx.doi.org/10.4316/AECE.2014.02022automatic controlcontrol systemdistributed parameter processnumerical simulationpartial differential equation
collection DOAJ
language English
format Article
sources DOAJ
author MURESAN, V.
ABRUDEAN, M.
UNGURESAN, M.-L.
COLOSI, T.
spellingShingle MURESAN, V.
ABRUDEAN, M.
UNGURESAN, M.-L.
COLOSI, T.
Cascade Control of a Residual Water Blunting System
Advances in Electrical and Computer Engineering
automatic control
control system
distributed parameter process
numerical simulation
partial differential equation
author_facet MURESAN, V.
ABRUDEAN, M.
UNGURESAN, M.-L.
COLOSI, T.
author_sort MURESAN, V.
title Cascade Control of a Residual Water Blunting System
title_short Cascade Control of a Residual Water Blunting System
title_full Cascade Control of a Residual Water Blunting System
title_fullStr Cascade Control of a Residual Water Blunting System
title_full_unstemmed Cascade Control of a Residual Water Blunting System
title_sort cascade control of a residual water blunting system
publisher Stefan cel Mare University of Suceava
series Advances in Electrical and Computer Engineering
issn 1582-7445
1844-7600
publishDate 2014-05-01
description In this paper, a solution for the automatic control of a residual water blunting system is proposed. The blunting technological process, being a distributed parameter one, is modeled using partial differential equations. This approach implies very big technological advantages due to the fact that the user has access to the pH value in each point of the tanks of the blunting system. Another element of originality is the inclusion of a distributed parameter process in a control structure, having the possibility to maintain the pH value constant in each point in the volume of the liquid from the system. A method based on the matrix of partial derivatives of the state vector (Mpdx) associated with Taylor series is used for the modeling-simulation of both the blunting process and the control system. The results assured by a simple control structure are not sufficient due to the restrictive imposed performances, so a cascade structure is treated in the paper.
topic automatic control
control system
distributed parameter process
numerical simulation
partial differential equation
url http://dx.doi.org/10.4316/AECE.2014.02022
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