Time‐domain computation of rotational iron losses considering the bulk conductivity for PMSMs

Abstract

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 proportionalintegral 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%.

Finite‐time fuzzy command filter control for permanent magnet synchronous motor stochastic systems with iron losses

“…Because of the high-speed operation, no-load operation or light load operation, PMSMs produce a large amount of iron losses, which will reduce the stability of the PMSMs system to a certain extent, lead to the increase of calorific value and reduce the service life. 16 Because the above control methods ignore the iron losses, no more accurate control strategy has been implemented. Therefore, solving the problems of stochastic disturbance and iron losses is helpful to improve the performance of PMSMs system.…”

“…Because of the stochastic disturbance, the controller design and stability analysis are more complex. Because of the high‐speed operation, no‐load operation or light load operation, PMSMs produce a large amount of iron losses, which will reduce the stability of the PMSMs system to a certain extent, lead to the increase of calorific value and reduce the service life 16 . Because the above control methods ignore the iron losses, no more accurate control strategy has been implemented.…”