Genetic algorithm based approach of SRM current profiling for torque control and minimal copper losses

MacRae, Euan and Abdel-Aziz, Ali and Ahmed, Khaled and Pollock, Richard and Williams, Barry W.; (2023) Genetic algorithm based approach of SRM current profiling for torque control and minimal copper losses. In: 2023 IEEE International Electric Machines & Drives Conference (IEMDC). IEEE, USA. ISBN 9798350398991 (https://doi.org/10.1109/IEMDC55163.2023.10239015)

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Abstract

This paper presents a novel approach to current profiling for switched reluctance machines that eliminates torque ripple while inherently guaranteeing minimum copper losses, along with linear torque control. Minimization of copper losses increases machine efficiency, while eliminating torque ripple is the pre requisite for SRM use in applications such as traction vehicles. This paper presents theoretical optimal current profiles, initially without consideration of DC link voltage limitations. Utilizing a Genetic Algorithm in conjunction with current profiling limit envelopes, an optimized set of current profiles across the torque ripple free speed range of an exemplary 8/6 SRM is then created. The profiles characteristics are analyzed and compared with commonly used torque sharing function control to confirm the merits of the proposed method.

  • Item type:Book Section
    ID code:87700
    Dates:
    Date
    Event
    6 September 2023
    Published
    20 February 2023
    Accepted
    Notes:Copyright © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Engineering > Electronic and Electrical Engineering
    Strategic Research Themes > Energy
    Depositing user: Pure Administrator
    Date deposited:20 Dec 2023 16:32
    Last modified:27 Apr 2024 13:43
    URI:https://strathprints.strath.ac.uk/id/eprint/87700
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