Design Optimization of Synchronous Reluctance Motor for low Torque Ripple

Andrea Cristofari (), Giuseppe Fabri (), Stefano Lucidi (), Francesco Rinaldi (), Francesco Romito (), Marco Santececca () and Marco Villani ()
Additional contact information
Andrea Cristofari: Department of Computer, Control and Management Engineering, Sapienza University of Rome
Giuseppe Fabri: Department of Industrial and Information Engineering and Economy, University of L'Aquila
Stefano Lucidi: Department of Computer, Control and Management Engineering, Sapienza University of Rome
Francesco Rinaldi: Department of Mathematics, University of Padova
Francesco Romito: ACT Operations Research IT, Sapienza University of Rome
Marco Santececca: Department of Industrial and Information Engineering and Economy, University of L'Aquila
Marco Villani: Department of Industrial and Information Engineering and Economy, University of L'Aquila

No 2017-10, DIAG Technical Reports from Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza"

Abstract: The aim of this paper is to optimize the design of multiple flux barriers Synchronous reluctance motor in order to smooth the torque profile without rotor skewing. A new strategy is proposed by modelling the particular optimal design problem as mixed integer constrained minimization of a suitable objective function. The procedure has allowed to optimize the rotor shape for minimum torque ripple starting from an existing stator core.

Keywords: Synchronous reluctance; Torque ripple optimization; Finite element analysis; Derivative-free algorithms; Nonlinear mixed-integer optimization methods (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://wwwold.dis.uniroma1.it/~bibdis/RePEc/aeg/report/2017-10.pdf First version, 2017 (application/pdf)
Our link check indicates that this URL is bad, the error code is: 500 Can't connect to wwwold.dis.uniroma1.it:80 (nodename nor servname provided, or not known)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:aeg:report:2017-10

Access Statistics for this paper

More papers in DIAG Technical Reports from Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza" Contact information at EDIRC.
Bibliographic data for series maintained by Antonietta Angelica Zucconi ( this e-mail address is bad, please contact ).