Management of a Production Cell Lubrication System with Model Predictive Control (Contributo in atti di convegno)

Type

• Contributo in atti di convegno (Classe)
• Prodotto della ricerca (Classe)

Label

• Management of a Production Cell Lubrication System with Model Predictive Control (Contributo in atti di convegno) (literal)

Anno

• 2014-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.1007/978-3-662-44733-8_17 (literal)

Alternative label

• Cataldo A.; Perizzato A.; Scattolini R. (2014)
  Management of a Production Cell Lubrication System with Model Predictive Control
  in APMS 2014, Ajaccio, 20-24 September 2014
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Cataldo A.; Perizzato A.; Scattolini R. (literal)

Pagina inizio

• 131 (literal)

Pagina fine

• 138 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url

• http://www.scopus.com/inward/record.url?eid=2-s2.0-84906922214&partnerID=q2rCbXpz (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

• 440 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana

• 440 (literal)

Rivista

• IFIP Advances in Information and Communication Technology (Rivista)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo

• PART-3 (literal)

Note

• Scopu (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• Institute of Industrial Technology and Automation - National Research Council, Milan, Italy; Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy (literal)

Titolo

• Management of a Production Cell Lubrication System with Model Predictive Control (literal)

Abstract

• The energy efficiency of manufacturing systems represents a topic of huge interest for the management of innovative production plants. In this paper, a production cell based on three operating machines has been taken into account. In particular, each machine has an independent lubrication system whose lubricant is cooled by a centralized cooling system, while the lubrication fluid temperatures must be maintained inside known upper and lower bounds, and the controller of the centralized cooling system has to minimize the cooling power. In order to control the lubrication and cooling processes, a Model Predictive Controller (MPC) has been designed, synthetized, implemented and simulated. The main advantage of the proposed algorithm consists in the possibility to directly consider the temperature limits together with the maximum bound of the cooling power directly into the optimization problem. This means that the control action is computed using the a-priori knowledge of these bounds, resulting in better temperature profiles then those obtained with standard controllers, e.g. with saturated Proportional, Integral, Derivative (PID) ones. © IFIP International Federation for Information Processing 2014. (literal)

Prodotto di

• Tecnologie abilitanti e sistemi di automazione adattativi per fabbriche orientate alla produzione personalizzata (SP.P01.015.001) (Modulo)

Autore CNR

• ANDREA CATALDO (Persona)

Insieme di parole chiave

• Keywords of "Management of a Production Cell Lubrication System with Model Predictive Control" (Insieme di parole chiave)

Incoming links:

Autore CNR di

• ANDREA CATALDO (Persona)

Prodotto

• Tecnologie abilitanti e sistemi di automazione adattativi per fabbriche orientate alla produzione personalizzata (SP.P01.015.001) (Modulo)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi

• IFIP Advances in Information and Communication Technology (Rivista)

Insieme di parole chiave di

• Keywords of "Management of a Production Cell Lubrication System with Model Predictive Control" (Insieme di parole chiave)