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A General Mathematical Formulation for Winding Layout Arrangement of Electrical Machines

Author

Listed:
  • Massimo Caruso

    (Department of Energy, Information Engineering and Mathematical Models (DEIM), University of Palermo, viale delle Scienze, Building nr. 9, 90128 Palermo, Italy)

  • Antonino Oscar Di Tommaso

    (Department of Energy, Information Engineering and Mathematical Models (DEIM), University of Palermo, viale delle Scienze, Building nr. 9, 90128 Palermo, Italy)

  • Fabrizio Marignetti

    (Department of Electrical and Information Engineering (DIEI), University of Cassino and South Lazio, via G. Di Biasio, 43, 03043 Cassino, Italy)

  • Rosario Miceli

    (Department of Energy, Information Engineering and Mathematical Models (DEIM), University of Palermo, viale delle Scienze, Building nr. 9, 90128 Palermo, Italy)

  • Giuseppe Ricco Galluzzo

    (Department of Energy, Information Engineering and Mathematical Models (DEIM), University of Palermo, viale delle Scienze, Building nr. 9, 90128 Palermo, Italy)

Abstract

Winding design methods have been a subject of research for many years of the past century. Many methods have been developed, each one characterized by some advantages and drawbacks. Nowadays, the star of slots is the most widespread design tool for electrical machine windings. In this context, this paper presents a simple and effective procedure to determine the distribution of the slot EMFs over the phases and of the winding configuration in all possible typologies of electrical machines equipped with symmetrical windings. The result of this procedure gives a Winding Distribution Table (WDT), which can be used to define coils and coil groups connections and also to simply implement winding optimizations techniques, such as zone widening, imbrication, etc. Moreover, this procedure can be easily implemented on a computer in order to perform automated winding designs for rotating electrical machines. Several examples are provided in order to validate the proposed procedure.

Suggested Citation

  • Massimo Caruso & Antonino Oscar Di Tommaso & Fabrizio Marignetti & Rosario Miceli & Giuseppe Ricco Galluzzo, 2018. "A General Mathematical Formulation for Winding Layout Arrangement of Electrical Machines," Energies, MDPI, vol. 11(2), pages 1-24, February.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:2:p:446-:d:132324
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    Citations

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    Cited by:

    1. Zhenyang Qiao & Dongdong Jiang & Weinong Fu, 2023. "A Universal Parametric Modeling Framework for Electric Machine Design," Energies, MDPI, vol. 16(16), pages 1-13, August.
    2. Massimo Caruso & Antonino Oscar Di Tommaso & Rosario Miceli & Fabio Viola, 2022. "A Cogging Torque Minimization Procedure for Interior Permanent Magnet Synchronous Motors Based on a Progressive Modification of the Rotor Lamination Geometry," Energies, MDPI, vol. 15(14), pages 1-19, July.
    3. Massimo Caruso & Antonino Oscar Di Tommaso & Fabrizio Marignetti & Rosario Miceli, 2020. "A General Investigation on the Differential Leakage Factor for Symmetrical and Asymmetrical Multiphase Winding Design," Energies, MDPI, vol. 13(20), pages 1-13, October.
    4. Akilu Yunusa-Kaltungo & Ruifeng Cao, 2020. "Towards Developing an Automated Faults Characterisation Framework for Rotating Machines. Part 1: Rotor-Related Faults," Energies, MDPI, vol. 13(6), pages 1-20, March.
    5. Armin Dietz & Antonino Oscar Di Tommaso & Fabrizio Marignetti & Rosario Miceli & Claudio Nevoloso, 2020. "Enhanced Flexible Algorithm for the Optimization of Slot Filling Factors in Electrical Machines," Energies, MDPI, vol. 13(5), pages 1-21, February.

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