Title: Finite element and analytic equivalent circuit models for MSIM feeded by MPI controlled by SVPWM strategy to minimise circulation harmonic current

Authors: Thouraya Guenenna; Khaled B. Smida; Adel Khedher

Addresses: LATIS-Laboratory of Advanced Technology and Intelligent Systems, Ecole Nationale d'Ingénieurs de Sousse, Université de Sousse, 4023, Sousse, Tunisia ' LATIS-Laboratory of Advanced Technology and Intelligent Systems, Ecole Nationale d'Ingénieurs de Sousse, Université de Sousse, 4023, Sousse, Tunisia ' LATIS-Laboratory of Advanced Technology and Intelligent Systems, Ecole Nationale d'Ingénieurs de Sousse, Université de Sousse, 4023, Sousse, Tunisia

Abstract: This article deals with the determination of the multi-stars induction machine (MSIM) equivalent circuit parameters based on the geometrical and electrical data using two methods namely analytic and finite element method (FEM). Additionally, this paper proposes a general dynamic study of MSIM. This latter is fed by a multi-phase inverter (MPI) controlled by a space vector pulse width modulation (SVPWM) and a sinusoidal pulse width modulation (SPWM). However, when this machine is fed by the voltage inverter for the case of 30° electrical shift between stator stars, large harmonic currents are observed. Thus, the main goal of this paper is to reduce the effect of these harmonic currents. Therefore, to overcome these issues, the machine stars number has been increased to three and four and the inverter has been controlled by the SVPWM. The effectiveness of this association and its capability to reduce the effect of the output harmonic current and electromagnetic torque ripple has been proved by simulation results.

Keywords: multi-stars induction machine; MSIM; analytic method; finite element method; FEM; space vector PWM; sinusoidal PWM; multi-phase inverter; MPI.

DOI: 10.1504/IJPELEC.2022.122410

International Journal of Power Electronics, 2022 Vol.15 No.3/4, pp.495 - 521

Received: 12 Jun 2019
Accepted: 14 Apr 2020
Published online: 25 Apr 2022 *

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