Optimum flux distribution with harmonic injection for a multiphase induction machine using genetic algorithms

Abdel-Khalik, A. S. and Gadoue, S. M. and Masoud, M. I. and Wiliams, B. W. (2011) Optimum flux distribution with harmonic injection for a multiphase induction machine using genetic algorithms. IEEE Transactions on Energy Conversion, 26 (2). pp. 501-512. ISSN 0885-8969 (https://doi.org/10.1109/TEC.2010.2093139)

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Abstract

This paper investigates a nontriplen multiphase induction machine when fed with harmonic current injection with different sequences for an open loop optimized flux distribution that produce a quasi-square wave in the machine air gap. This maximizes iron utilization, giving more torque per ampere. The relation between the fundamental and other harmonic components can be determined for the best iron utilization using genetic algorithms where optimum flux distribution with different injected harmonic order can be obtained. This means, the target is to optimize the flux distribution during no-load to determine the optimum constants that guarantee approximate square wave air-gap flux. The paper focuses on an 11-phase machine that can be excited with harmonics up to the ninth. The technique is assessed using both winding function and finite element analysis methods. The prototype machine is fed from an 11-phase inverter. The system DSP control using genetic algorithm produces an optimum flux distribution by using winding sequence and harmonic current injection. Simulation results for the 11-phase dq model and prototype drive experimental results are presented.

  • Item type:Article
    ID code:40676
    Dates:
    Date
    Event
    June 2011
    Published
    Keywords:air-cap field, winding function, finite element analysis (FEA), genetic algorithm (GA), performance, motor drives, multiphase induction machine, speed drive applications, eleven-phase, harmonic injection, optimal-design, model, parameter-identification, optimum flux distribution, harmonic flux injection, multiphase induction, genetic algorithm, air gaps, windings , torque, stator windings , harmonic analysis , gallium, Electrical Engineering. Electronics Nuclear Engineering, Energy Engineering and Power Technology, Electrical and Electronic Engineering
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Engineering > Electronic and Electrical Engineering
    Depositing user: Pure Administrator
    Date deposited:02 Aug 2012 13:05
    Last modified:02 Dec 2022 01:40
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/40676
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