Synchronous Reluctance Machine modeling for accurate performances evaluation

Nonlinear Three-Phase Reluctance Synchronous Machine Modeling With Extended Torque Equation

“…A lot of research has already been conducted to accurately model three-phase RSMs. In [11][12][13][14][15][16][17][18][19][20], nonlinear RSM models are provided in the (d, q)-reference frame. However, all of these papers assume a symmetric (balanced) system and, therefore, neglect the γ-component, which is generally obtained by the Clarke transformation in an unbalanced system and corresponds to a scaled 0-component.…”

“…However, all of these papers assume a symmetric (balanced) system and, therefore, neglect the γ-component, which is generally obtained by the Clarke transformation in an unbalanced system and corresponds to a scaled 0-component. In most publications, the magnetic behavior is described by nonlinear (apparent) inductances that depend on the stator currents or rotor position [11,12,14,15,17,18,20], while cross-coupling is mostly neglected (although present if not adequately considered during apparent inductance derivation). Other authors use flux linkage maps for modeling and, therefore, allow to include cross-coupling effects [12,13,16,19].…”

Nonlinear Three-Phase Reluctance Synchronous Machine Modeling With Extended Torque Equation

“…A lot of research has already been conducted to accurately model three-phase RSMs. In [11][12][13][14][15][16][17][18][19][20], nonlinear RSM models are provided in the (d, q)-reference frame. However, all of these papers assume a symmetric (balanced) system and, therefore, neglect the γ-component, which is generally obtained by the Clarke transformation in an unbalanced system and corresponds to a scaled 0-component.…”

“…However, all of these papers assume a symmetric (balanced) system and, therefore, neglect the γ-component, which is generally obtained by the Clarke transformation in an unbalanced system and corresponds to a scaled 0-component. In most publications, the magnetic behavior is described by nonlinear (apparent) inductances that depend on the stator currents or rotor position [11,12,14,15,17,18,20], while cross-coupling is mostly neglected (although present if not adequately considered during apparent inductance derivation). Other authors use flux linkage maps for modeling and, therefore, allow to include cross-coupling effects [12,13,16,19].…”

Co-Simulation Analysis for Performance Prediction of Synchronous Reluctance Drives

“…This approach allows us to obtain sufficient information about the performance of the drive, but it cannot identify and investigate certain transient and harmonic effects caused by the non-sinusoidal flux density distribution, the slotting effects, and the pulse-width modulated (PWM) voltage source inverter, which are necessary for optimization of the drive and result in higher electromagnetic losses and torque ripple [5]. Moreover, it is well known that the behavior of an electrical machine becomes more nonlinear depending on the operation conditions, the effects of magnetic saturation, and cross-saturation, which should be taken into account [6].…”