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Communication Dans Un Congrès Année : 2010

Control optimization of a LHC 18 kw cryoplant warm compression station using dynamic simulations

Résumé

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.

Domaines

Automatique

Dates et versions

hal-02194569 , version 1 (25-07-2019)

Identifiants

Citer

Benjamin Bradu, Philippe Gayet, Silviu-Iulian Niculescu. Control optimization of a LHC 18 kw cryoplant warm compression station using dynamic simulations. Joint Cryogenic Engineering Conference/International Cryogenic Materials Conference, Jun 2010, Tucson, United States. ⟨10.1063/1.3422344⟩. ⟨hal-02194569⟩
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