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Commande prédictive par modèle pratique non linéaire avec un modèle de Hammerstein appliquée à un banc d'essai pour les compresseurs frigorifiques.

Practical nonlinear model predictive control with Hammerstein model applied to a test rig for refrigeration compressors.

Numéro : pap. 1546

Auteurs : SCHWEDERSKY B. B., FLESCH R. C. C., DANGUI H. A. S.

Résumé

This paper presents implementation issues and the results of a suboptimal nonlinear model predictive controller used to control the suction and discharge pressures of a compressor when it is tested in a refrigeration test rig. The objective of this rig is to emulate operational conditions to which refrigeration compressors can be subjected when used in refrigeration systems, such as household refrigerators and freezers, allowing quick measurements of some compressor characteristics under such nominal conditions. There is a coupling between suction and discharge pressures and the behavior of both variables is nonlinear with respect to the valve openings, thus the plant to be controlled can be characterized as multivariable and nonlinear. The controller implemented in this paper is the practical nonlinear model predictive control algorithm, which is a general framework that can be used for the implementation of nonlinear model predictive controllers considering almost any class of nonlinear model. This paper considers an specific nonlinear model architecture, the Hammerstein nonlinear model. This model is composed of a static nonlinear element in series with a linear dynamic part, and is widely used, being a simple but flexible nonlinear model. The dynamics of the real test rig were identified using this nonlinear model structure and the identification results are discussed. The practical nonlinear model predictive controller was implemented in the real test rig, being tested at distinct operating conditions. Proposed controller results are compared with the ones obtained with a classical PID controller. The modeling approach and the controller implementation presented good results, showing that it is possible to use nonlinear model predictive control algorithms in refrigeration test rigs, and that this use can contribute to increasing the productivity and operational efficiency of compressor tests.

Documents disponibles

Format PDF

Pages : 10

Disponible

  • Prix public

    20 €

  • Prix membre*

    15 €

* meilleur tarif applicable selon le type d'adhésion (voir le détail des avantages des adhésions individuelles et collectives)

Détails

  • Titre original : Practical nonlinear model predictive control with Hammerstein model applied to a test rig for refrigeration compressors.
  • Identifiant de la fiche : 30024371
  • Langues : Anglais
  • Source : 2018 Purdue Conferences. 24th International Compressor Engineering Conference at Purdue.
  • Date d'édition : 09/07/2018

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