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Design Optimization of Synchronous Reluctance Motor for Low Torque Ripple

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A View of Operations Research Applications in Italy, 2018

Part of the book series: AIRO Springer Series ((AIROSS,volume 2))

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.

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Author information

Authors and Affiliations

  1. Dipartimento di Ingegneria Industriale e dell’Informazione e di Economia, Università degli studi dell’Aquila, Via Giovanni Gronchi, 18, 67100, L’Aquila, Italy

    Andrea Credo, Marco Santececca & Marco Villani

  2. Dipartimento di Matematica, Università degli studi di Padova, Via Trieste, 63, 35121, Padua, Italy

    Andrea Cristofari & Francesco Rinaldi

  3. Dipartimento di Ingegneria Informatica, Automatica e Gestionale, Sapienza Università di Roma, Via Ariosto, 25, 00185, Rome, Italy

    Stefano Lucidi & Francesco Romito

Authors
  1. Andrea Credo
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  2. Andrea Cristofari
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  3. Stefano Lucidi
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  4. Francesco Rinaldi
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  5. Francesco Romito
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  6. Marco Santececca
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  7. Marco Villani
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Corresponding author

Correspondence to Stefano Lucidi .

Editor information

Editors and Affiliations

  1. DISMI - Department of Sciences and Methods for Engineering, University of Modena and Reggio Emilia, Reggio Emilia, Italy

    Mauro Dell'Amico

  2. DIMES , University of Calabria, Arcavacata di Rende, Italy

    Manlio Gaudioso

  3. CNR - IASI Institute for Systems Analysis and Computer Science, National Research Council, Rome, Italy

    Giuseppe Stecca

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Credo, A. et al. (2019). Design Optimization of Synchronous Reluctance Motor for Low Torque Ripple. In: Dell'Amico, M., Gaudioso, M., Stecca, G. (eds) A View of Operations Research Applications in Italy, 2018. AIRO Springer Series, vol 2. Springer, Cham. https://doi.org/10.1007/978-3-030-25842-9_5

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