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Développement d'un dispositif de régulation adaptative en ligne fondé sur des réseaux neuronaux pour un système de conditionnement d'air à détente directe.

Development of an on-line adaptive ANN-based controller for a direct expansion air-conditioning system.

Numéro : pap. 2132

Auteurs : LI N., XIA L., DENG S., et al.

Résumé

An on-line adaptive artificial neural network (ANN)-based controller has been developed for an experimental DX A/C system. It controls the indoor air temperature and humidity simultaneously by varying the compressor speed and supply fan speed in a space served by the experimental DX A/C system. The ANN-based direct inverse control strategy was adopted in the development of the controller and the specialized training method was used to on-line update an ANN-based model and an inverse model used in the controller. The controllability tests including the command following test and the disturbance rejection test were carried out using the experimental DX A/C system, and the test results showed that the on-line adaptive ANN-based controller developed was able to control indoor air dry-bulb temperature and wet-bulb temperature outside the operating conditions within which the models were trained, with a high control accuracy.

Documents disponibles

Format PDF

Pages : 8 p.

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 : Development of an on-line adaptive ANN-based controller for a direct expansion air-conditioning system.
  • Identifiant de la fiche : 30006315
  • Langues : Anglais
  • Source : 2012 Purdue Conferences. 14th International Refrigeration and Air-Conditioning Conference at Purdue.
  • Date d'édition : 16/07/2012

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