Control Optimization of a LHC 18 KW Cryoplant Warm Compression Station Using Dynamic Simulations

This paper addresses the control optimization of a 4.5 K refrigerator used in the cryogenic system of the Large Hadron Collider (LHC) at CERN. First, the compressor station with the cold-box have been modeled and simulated under PROCOS (Process and Control Simulator), a simulation environment develo...

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Detalles Bibliográficos
Autores principales: Bradu, B, Gayet, Ph, Niculescu, S I
Lenguaje:eng
Publicado: 2010
Materias:
Engineering
Acceso en línea:https://dx.doi.org/10.1063/1.3422344
http://cds.cern.ch/record/1359310
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author Bradu, B
Gayet, Ph
Niculescu, S I
author_facet Bradu, B
Gayet, Ph
Niculescu, S I
author_sort Bradu, B
collection CERN
description This paper addresses the control optimization of a 4.5 K refrigerator used in the cryogenic system of the Large Hadron Collider (LHC) at CERN. First, the compressor station with the cold-box have been modeled and simulated under PROCOS (Process and Control Simulator), a simulation environment developed at CERN. Next, an appropriate parameter identification has been performed on the simulator to obtain a simplified model of the system in order to design an Internal Model Control (IMC) enhancing the regulation of the high pressure. Finally, a floating high pressure control is proposed using a cascade control to reduce operational costs.
id cern-1359310
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2010
record_format invenio
spelling cern-13593102019-09-30T06:29:59Zdoi:10.1063/1.3422344http://cds.cern.ch/record/1359310engBradu, BGayet, PhNiculescu, S IControl Optimization of a LHC 18 KW Cryoplant Warm Compression Station Using Dynamic SimulationsEngineeringThis paper addresses the control optimization of a 4.5 K refrigerator used in the cryogenic system of the Large Hadron Collider (LHC) at CERN. First, the compressor station with the cold-box have been modeled and simulated under PROCOS (Process and Control Simulator), a simulation environment developed at CERN. Next, an appropriate parameter identification has been performed on the simulator to obtain a simplified model of the system in order to design an Internal Model Control (IMC) enhancing the regulation of the high pressure. Finally, a floating high pressure control is proposed using a cascade control to reduce operational costs.oai:cds.cern.ch:13593102010
spellingShingle Engineering
Bradu, B
Gayet, Ph
Niculescu, S I
Control Optimization of a LHC 18 KW Cryoplant Warm Compression Station Using Dynamic Simulations
title Control Optimization of a LHC 18 KW Cryoplant Warm Compression Station Using Dynamic Simulations
title_full Control Optimization of a LHC 18 KW Cryoplant Warm Compression Station Using Dynamic Simulations
title_fullStr Control Optimization of a LHC 18 KW Cryoplant Warm Compression Station Using Dynamic Simulations
title_full_unstemmed Control Optimization of a LHC 18 KW Cryoplant Warm Compression Station Using Dynamic Simulations
title_short Control Optimization of a LHC 18 KW Cryoplant Warm Compression Station Using Dynamic Simulations
title_sort control optimization of a lhc 18 kw cryoplant warm compression station using dynamic simulations
topic Engineering
url https://dx.doi.org/10.1063/1.3422344
http://cds.cern.ch/record/1359310
work_keys_str_mv AT bradub controloptimizationofalhc18kwcryoplantwarmcompressionstationusingdynamicsimulations
AT gayetph controloptimizationofalhc18kwcryoplantwarmcompressionstationusingdynamicsimulations
AT niculescusi controloptimizationofalhc18kwcryoplantwarmcompressionstationusingdynamicsimulations

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