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A Simple Analytical Model of Static Eccentricity for PM Brushless Motors and Validation through FEM Analysis

Author

Listed:
  • Andrea Del Pizzo

    (Deptartment of Electrical Engineering and Information Technology, University of Naples Federico II, 80125 Napoli, Italy)

  • Luigi Pio Di Noia

    (Deptartment of Electrical Engineering and Information Technology, University of Naples Federico II, 80125 Napoli, Italy)

  • Emanuele Fedele

    (Deptartment of Electrical Engineering and Information Technology, University of Naples Federico II, 80125 Napoli, Italy)

Abstract

The paper firstly summarizes a simple analytical model of the air gap flux-density distribution for isotropic permanent magnet (PM) synchronous machines, in the presence of static eccentricity. The model was proposed by the authors in a previous paper and is based on an efficacious analytical expression of the variable length of air gap magnetic field lines which occur in eccentric brushless machines with surface-mounted permanent magnets. The approximate expression of the air gap field makes it possible to achieve a mathematical model with concentrated parameters close to that of a PM machine without eccentricity. The expression of the armature voltages and electromagnetic torque are found, also with reference to steady-state operating conditions at fixed rotor speed and impressed currents. The differences introduced by the considered type of eccentricity are evaluated and highlighted especially with reference to the air gap inductance and to waveforms and frequency spectra of voltages and shaft torque. Numerical results in a case-study of an 8-pole, 110 kW PM motor are compared to those obtained by using finite element analysis.

Suggested Citation

  • Andrea Del Pizzo & Luigi Pio Di Noia & Emanuele Fedele, 2020. "A Simple Analytical Model of Static Eccentricity for PM Brushless Motors and Validation through FEM Analysis," Energies, MDPI, vol. 13(13), pages 1-19, July.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:13:p:3420-:d:379567
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    Citations

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    Cited by:

    1. Jin-Cheol Park & Soo-Hwan Park & Jae-Hyun Kim & Soo-Gyung Lee & Geun-Ho Lee & Myung-Seop Lim, 2021. "Diagnosis and Robust Design Optimization of SPMSM Considering Back EMF and Cogging Torque due to Static Eccentricity," Energies, MDPI, vol. 14(10), pages 1-19, May.
    2. Karolina Kudelina & Bilal Asad & Toomas Vaimann & Anton Rassõlkin & Ants Kallaste & Huynh Van Khang, 2021. "Methods of Condition Monitoring and Fault Detection for Electrical Machines," Energies, MDPI, vol. 14(22), pages 1-20, November.

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