2020 International Conference on Advances in Computing, Communication &Amp; Materials (ICACCM) 2020
DOI: 10.1109/icaccm50413.2020.9212965
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Analysis of Dynamic Model of Three Phase Induction Motor with MATLAB/SIMULINK

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Cited by 9 publications
(5 citation statements)
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“…The relation (15) (park transformer) is used to convert the electrical signals from a, b, c frame to d, q frame rotating at ω k or vice versa [33,34].…”
Section: Im Drive System Modelmentioning
confidence: 99%
“…The relation (15) (park transformer) is used to convert the electrical signals from a, b, c frame to d, q frame rotating at ω k or vice versa [33,34].…”
Section: Im Drive System Modelmentioning
confidence: 99%
“…The d-q reference frame model of the three-phase induction motor is provided in equations ( 1)-( 10) (Krause et al, 2013;Metwaly et al, 2019). They are the voltage, flux linkage and torque equations of the three-phase induction motor (Sharma, Parashar and Chandel, 2020).…”
Section: Mathematical Modelmentioning
confidence: 99%
“…Magnetic equivalent circuit (MEC) models provide a favourable balance between speed of calculation and the ability to model transient and localised (fault) features which are difficult to implement in multiple coupled circuit (MCC) models (Bouzid and Champenois, 2013; Ojaghi and Faiz, 2008) or DQ models (Sharma et al , 2020; Bellure and Aspalli, 2015). For an equal number of modelled effects, they are faster to compute than finite element models (FEM) due to the large-scale approach and predefined flux paths Liang et al (2020).…”
Section: Introductionmentioning
confidence: 99%
“…= Rotor skew angle in the frontal plane (rad); g h = Stator tooth angular position (rad); g lh = Rotor to stator tooth angular separation (rad); g l = Rotor tooth angular position (rad); m 0 = Magnetic permeability of free space (H/m); u R = Rotor tooth head spanned angle (rad); u S = Stator tooth head spanned angle (rad); c sat = Tooth head saturation correction factor; c shape = Tooth head shape correction factor; L 1. Introduction Magnetic equivalent circuit (MEC) models provide a favourable balance between speed of calculation and the ability to model transient and localised (fault) features which are difficult to implement in multiple coupled circuit (MCC) models (Bouzid and Champenois, 2013;Ojaghi and Faiz, 2008) or DQ models (Sharma et al, 2020;Bellure and Aspalli, 2015). For an equal number of modelled effects, they are faster to compute than finite element models (FEM) due to the large-scale approach and predefined flux paths Liang et al (2020).…”
mentioning
confidence: 99%