Control Systems with Tomographic Sensors-A Review.

control systems in process engineering distributed parameters systems industrial process tomography process control

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
07 Apr 2022
Historique:
received: 11 02 2022
revised: 24 03 2022
accepted: 04 04 2022
entrez: 23 4 2022
pubmed: 24 4 2022
medline: 27 4 2022
Statut: epublish

Résumé

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.

Identifiants

pubmed: 35458833
pii: s22082847
doi: 10.3390/s22082847
pmc: PMC9032538
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : European Commission
ID : 764902

Références

Sensors (Basel). 2021 Oct 19;21(20):
pubmed: 34696133
Sensors (Basel). 2022 Mar 16;22(6):
pubmed: 35336477
Sensors (Basel). 2021 Oct 28;21(21):
pubmed: 34770476
Sensors (Basel). 2022 Feb 25;22(5):
pubmed: 35270982
Philos Trans A Math Phys Eng Sci. 2016 Jun 28;374(2070):
pubmed: 27185965
Sensors (Basel). 2022 Mar 11;22(6):
pubmed: 35336364
Sensors (Basel). 2020 Oct 25;20(21):
pubmed: 33113871
Philos Trans A Math Phys Eng Sci. 2016 Jun 28;374(2070):
pubmed: 27185967
Sensors (Basel). 2020 Dec 01;20(23):
pubmed: 33271942

Auteurs

Jaroslav Hlava (J)

Institute of Mechatronics and Computer Engineering, Faculty of Mechatronics, Informatics and Interdisciplinary Studies, Technical University of Liberec, 461 17 Liberec, Czech Republic.

Shereen Abouelazayem (S)

Institute of Mechatronics and Computer Engineering, Faculty of Mechatronics, Informatics and Interdisciplinary Studies, Technical University of Liberec, 461 17 Liberec, Czech Republic.

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Classifications MeSH