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Control Systems with Tomographic Sensors—A Review

Industrial process tomography offers two key advantages over conventional sensing systems. Firstly, process tomography systems provide information about 2D or 3D distributions of the variables of interest. Secondly, tomography looks inside the processes without penetrating them physically, i.e., sen...

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Detalles Bibliográficos
Autores principales: Hlava, Jaroslav, Abouelazayem, Shereen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9032538/
https://www.ncbi.nlm.nih.gov/pubmed/35458833
http://dx.doi.org/10.3390/s22082847
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author Hlava, Jaroslav
Abouelazayem, Shereen
author_facet Hlava, Jaroslav
Abouelazayem, Shereen
author_sort Hlava, Jaroslav
collection PubMed
description Industrial process tomography offers two key advantages over conventional sensing systems. Firstly, process tomography systems provide information about 2D or 3D distributions of the variables of interest. Secondly, tomography looks inside the processes without penetrating them physically, i.e., sensing is possible despite harsh process conditions, and the operation of the process is not disturbed by intrusive sensors. These advantages open new perspectives for the field of process control, and the potential of closed-loop control applications is one of the main driving forces behind the development of industrial tomography. Despite these advantages and decades of development, closed-loop control applications of tomography are still not really common. This article provides an overview of the current state-of-the-art in the field of control systems with tomographic sensors. An attempt is made to classify the different control approaches, critically assess their strengths and weak points, and outline which directions may lead to increased future utilization of industrial tomography in the closed-loop feedback control.
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spelling pubmed-90325382022-04-23 Control Systems with Tomographic Sensors—A Review Hlava, Jaroslav Abouelazayem, Shereen Sensors (Basel) Review Industrial process tomography offers two key advantages over conventional sensing systems. Firstly, process tomography systems provide information about 2D or 3D distributions of the variables of interest. Secondly, tomography looks inside the processes without penetrating them physically, i.e., sensing is possible despite harsh process conditions, and the operation of the process is not disturbed by intrusive sensors. These advantages open new perspectives for the field of process control, and the potential of closed-loop control applications is one of the main driving forces behind the development of industrial tomography. Despite these advantages and decades of development, closed-loop control applications of tomography are still not really common. This article provides an overview of the current state-of-the-art in the field of control systems with tomographic sensors. An attempt is made to classify the different control approaches, critically assess their strengths and weak points, and outline which directions may lead to increased future utilization of industrial tomography in the closed-loop feedback control. MDPI 2022-04-07 /pmc/articles/PMC9032538/ /pubmed/35458833 http://dx.doi.org/10.3390/s22082847 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Hlava, Jaroslav
Abouelazayem, Shereen
Control Systems with Tomographic Sensors—A Review
title Control Systems with Tomographic Sensors—A Review
title_full Control Systems with Tomographic Sensors—A Review
title_fullStr Control Systems with Tomographic Sensors—A Review
title_full_unstemmed Control Systems with Tomographic Sensors—A Review
title_short Control Systems with Tomographic Sensors—A Review
title_sort control systems with tomographic sensors—a review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9032538/
https://www.ncbi.nlm.nih.gov/pubmed/35458833
http://dx.doi.org/10.3390/s22082847
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