May 5, 2024
Hamed Gorginpour

Hamed Gorginpour

Academic Rank: Associate professor
Address:
Degree: Ph.D in -
Phone: -
Faculty: Faculty of Intelligent Systems and Data Science

Research

Title Optimal electromagnetic-thermal design of a seven-phase induction motor for high-power speed-control applications
Type Article
Keywords
7-phase induction motor; Optimization; Coupled-circuit model; Lumped parameter thermal model; Finite-element method; Winding function
Journal Scientia Iranica
DOI 10.24200/sci.2021.54766.4028
Researchers Zargham Heidari (First researcher) , Hamed Gorginpour (Second researcher) , mahdi Shahparasti (Third researcher)

Abstract

Induction motors were traditionally used in industrial applications ranging from a fraction of horse-power up to several Megawatts due to their substantial benefit s. Induction drives with more than three phases are superior to the 3-phase induction drives in terms of overall volume, torque fluctuations, current passing each stator-winding, ohmic loss, efficiency, and reliability in the case of stator-windings open-circuit fault. These benefi ts are particularly more attractive in variable speed drivers due to the reduced capacity of power-electronic switches. This paper aims to develop an optimal electromagnetic-thermal design procedure of a high-power seven-phase induction motor suitable for variable-speed applications. In this multi-objective design approach, the objective function is defi ned aiming to increase the effciency, power-factor, power-to-weight ratio, and starting-torque as well as reduce the starting-current. Furthermore, the electrical, mechanical, dimensional, magnetic, and thermal limitations are included in this optimization study in order to ensure practical realization of the designed machine. The coupled-circuit method is employed for nonlinear electromagnetic modeling, while the current displacement phenomenon is considered in calculations of rotor parameters. A lumped-parameter-thermal model is established for calculating heat rises of di erent parts at each iteration of optimization study. Finally, the performance characteristics of the optimally designed 1-MW 4-pole motor are veri ed based on 2D FE analyses.