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dc.contributor.authorLópez Torres, Carlos
dc.contributor.authorSala Cardoso, Enric
dc.contributor.authorGarcía Espinosa, Antonio
dc.contributor.authorRomeral Martínez, José Luis
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Elèctrica
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica
dc.date.accessioned2016-12-22T12:43:24Z
dc.date.issued2015
dc.identifier.citationLopez, C., Sala, E., Garcia, A., Romeral, L. Constrained-size torque maximization in SynRM machines by means of genetic algorithms. A: IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives. "Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED), 2015 IEEE 10th International Symposium on". Guarda: 2015, p. 1-7.
dc.identifier.isbn978-1-4799-7743-7
dc.identifier.urihttp://hdl.handle.net/2117/98761
dc.description.abstractSynchronous Reluctance Motors have always been an alternative to more mainstream machines such as the Permanent Magnet Synchronous Motor, but until recently they have not found their right place in industrial applications. This progressing adoption begins with the replacement of the current solutions, but this presents the design challenge of finding a surrogate which conforms to the specifications for a given application. In order to overcome this challenge, an evolutionary design methodology for SynRM is presented. The proposed approach uses a set of design constraints to maximize the mechanical power of the motor taking into account the specified rated speed. Since the calculation of the torque of the motor is critical, an iterative method for the evaluation of iron losses has been introduced. Finally, the proposed approach is validated by means of FEM simulation and the calculation of the efficiency map of the results.
dc.format.extent7 p.
dc.language.isoeng
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria elèctrica
dc.subject.lcshElectric machines
dc.subject.otherElectric machines
dc.subject.otherFinite element analysis
dc.subject.otherGenetic programming
dc.subject.otherOptimization
dc.subject.otherTorque.
dc.titleConstrained-size torque maximization in SynRM machines by means of genetic algorithms
dc.typeConference report
dc.subject.lemacMàquines elèctriques
dc.contributor.groupUniversitat Politècnica de Catalunya. MCIA - Motion Control and Industrial Applications Research Group
dc.identifier.doi10.1109/DEMPED.2015.7303712
dc.description.peerreviewedPeer Reviewed
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac19033916
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorLopez, C.; Sala, E.; Garcia, A.; Romeral, L.
local.citation.contributorIEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives
local.citation.pubplaceGuarda
local.citation.publicationNameDiagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED), 2015 IEEE 10th International Symposium on
local.citation.startingPage1
local.citation.endingPage7


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