Optimal electromagnetic-thermal design of a seven-phase induction motor for high-power speed-control applications

Document Type : Article

Authors

1 Department of Electrical Engineering, Bushehr Branch, Islamic Azad University, Bushehr, Iran

2 Department of Intelligent Systems Engineering and Data Science, Persian Gulf University, Bushehr, Iran

3 Department of Engineering, East Tehran Branch, Islamic Azad University, Tehran, Iran

Abstract

Induction motors have been traditionally used in industrial applications ranging from a fraction of horse-power up to several Megawatts due to their substantial benefits. 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 benefits are especially more attractive in variable speed drivers due to the reduced capacity of power-electronics 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 defined aiming to increase the efficiency, power-factor, power-to-weight ratio, starting-torque as well as decrease 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 rotor parameters calculations. A lumped-parameter-thermal model is established for calculating heat rises of different parts in each iteration of optimization study. Finally, the performance characteristics of the optimally designed 1-MW 4-pole motor are verified using 2D-FE analyses.

Keywords

References

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Scientia Iranica
Volume 29, Issue 5
Transactions on Computer Science & Engineering and Electrical Engineering (D)
September and October 2022
Pages 2480-2497

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History

  • Receive Date: 10 December 2019
  • Revise Date: 26 October 2020
  • Accept Date: 04 January 2021

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