A Simulink Library of cryogenic components to automatically generate control schemes for large Cryorefrigerators

Cryogenic Engineering Conference 2015

材料科学;物理学

Bonne, Fraois^1 ; Alamir, Mazen^2 ; Hoa, Christine^1 ; Bonnay, Patrick^1 ; Bon-Mardion, Michel^1 ; Monteiro, Lionel^1

Univ. Grenoble Alpes, CEA-INAC-SBT, Grenoble

F-38000, France^1

CNRS, Control Systems Department, University of Grenoble, Domaine Universitaire, 11 rue des Mathématiques, St.-Martin d'Hères

38402, France^2

关键词: Advanced control schemes;    Advanced model-based controls;    Constrained model predictive control;    Cryogenic cooling system;    International thermonuclear experimental reactor;    Model-based control schemes;    Model-based OPC;    Phase separators;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/101/1/012171/pdf
DOI  :  10.1088/1757-899X/101/1/012171

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

In this article, we present a new Simulink library of cryogenics components (such as valve, phase separator, mixer, heat exchanger?) to assemble to generate model-based control schemes. Every component is described by its algebraic or differential equation and can be assembled with others to build the dynamical model of a complete refrigerator or the model of a subpart of it. The obtained model can be used to automatically design advanced model based control scheme. It also can be used to design a model based PI controller. Advanced control schemes aim to replace classical user experience designed approaches usually based on many independent PI controllers. This is particularly useful in the case where cryoplants are submitted to large pulsed thermal loads, expected to take place in future fusion reactors such as those expected in the cryogenic cooling systems of the International Thermonuclear Experimental Reactor (ITER) or the Japan Torus-60 Super Advanced Fusion Experiment (JT-60SA). The paper gives the example of the generation of the dynamical model of the 400W@1.8K refrigerator and shows how to build a Constrained Model Predictive Control for it. Based on the scheme, experimental results will be given. This work is being supported by the French national research agency (ANR) through the ANR-13-SEED-0005 CRYOGREEN program.