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Time‐domain computation of rotational iron losses considering the bulk conductivity for PMSMs
Author(s) -
Asef Pedram,
Bargallo Ramon,
Lapthorn Andrew C.
Publication year - 2019
Publication title -
iet electric power applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.815
H-Index - 97
eISSN - 1751-8679
pISSN - 1751-8660
DOI - 10.1049/iet-epa.2018.5395
Subject(s) - computation , finite element method , rotor (electric) , control theory (sociology) , harmonics , magnet , mechanics , materials science , conductivity , rotational speed , transient (computer programming) , electrical steel , torque , physics , engineering , mathematics , computer science , mechanical engineering , classical mechanics , electrical engineering , voltage , thermodynamics , composite material , control (management) , algorithm , quantum mechanics , artificial intelligence , operating system
This study investigates an advanced finite‐element (FE) technique for the evaluation of rotational iron losses based on a time‐domain computation, where the bulk conductivity of the core materials is considered. The iron‐loss characteristics are discussed for a radial flux permanent magnet synchronous machine (PMSM) for a wind generation application, with closed slots and outer rotor topology. The following factors are taken into account: (i) a real‐time rotational iron‐loss computation; (ii) the bulk conductivity of the steel laminations; and (iii) the influence of the controller harmonics on the system during transient conditions. The magnetic induction vector locus of each iron component is also discussed, where the magnetic induction is numerically modelled [three‐dimensional (3D) finite element analysis (FEA)], computed using multiple magnetic antennae and is also experimentally verified. This comparative study shows a torque–frequency‐loss computation that is presented from low to high frequencies (50–800) Hz. The FE model of the total iron losses for the PMSM using both pure sinusoidal and proportional–integral pulse‐width modulation currents is studied and experimentally verified on a surface‐mounted PMSM. The proposed method of iron losses prediction significantly reduced the rate of error between 3D FEA and experimental data to 1.7%.

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