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Analytical Modelling of Open-Circuit Flux Linkage, Cogging Torque and Electromagnetic Torque for Design of Switched Flux Permanent Magnet Machine

Journal of Magnetics, Volume 23, Number 2, 30 Jun 2018, Pages 253-266
Noman Ullah * (Department of Electrical Engineering, COMSATS Institute of Information Technology), Faisal Khan (Department of Electrical Engineering, COMSATS Institute of Information Technology), Wasiq Ullah (Department of Electrical Engineering, COMSATS Institute of Information Technology), Abdul Basit (U.S.-Pakistan Center for Advanced Studies in Energy, University of Engineering & Technology), Muhammad Umair (Department of Electrical Engineering, COMSATS Institute of Information Technology), Zeeshan Khattak (Department of Electrical Engineering, COMSATS Institute of Information Technology)
Abstract
Magnetic saturation and complex stator structure of Switched Flux Permanent Magnet Machine (SFPMM) compels designers to adopt universally accepted numerical method of analysis i.e. Finite Element Analysis
(FEA). FEA is not preferred for initial design due to its computational complexity and is time consuming process because of repeated iterations. This paper presents an accurate analytical approach for initial design of
proposed twelve-stator-slot and ten-rotor-tooth (12/10) with trapezoidal slot structure SFPMM. Air-gap Magnetic Equivalent Circuit (MEC) models with Global Reluctance Network (GRN) methodology is utilized for calculation of open-circuit flux linkage. Fourier Analysis (FA) for cogging torque, and Maxwell Stress Tensor (MST) method for electromagnetic torque where radial and tangential components of the air-gap flux density
are produced by the currents flowing in three phase armature winding. Analytical predictions are validated by FEA utilizing JMAG software and shows errors less than ~2% for open-circuit flux linkage, ~4.2% for cogging
torque, and ~2% for average electromagnetic torque.
 
Keywords: Switched Flux Permanent Magnet Machine; Fourier Analysis; Maxwell Stress Tensor Method; Analytical Modelling; Magnetic Equivalent Circuit Models; Global Reluctance Network Methodology
DOI: https://doi.org/10.4283/JMAG.2018.23.2.253
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