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Modelling and indirect field‐oriented control for pole phase modulation induction motor drives

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journal contribution
submitted on 2025-05-06, 10:38 and posted on 2025-05-06, 10:39 authored by Atif Iqbal, B. Prathap Reddy, Syed Rahman, Mohammad Meraj

In the recent days, for the traction and electric vehicle (EV) applications, multiphase machines with pole phase modulation (PPM) technique have been proposed. The smoother operation during pole changeovers as well as steady‐state operations is a significant constraint while adopting the PPM‐based multiphase induction motor (PPMIM) drives for EV and traction applications. So, in this paper, the PPMIM dynamic model and associated vector control are proposed for attaining a smoother operation of the machine. The machine modelling equations and transformation matrices are implemented in an arbitrary reference frame by considering the different pole phase combinations. Based on the modelling equations, the indirect field‐oriented control (IFOC) is proposed for PPMIM drives by reflecting the associated changes in parameters for different pole phase modes. In the IFOC, for regulating the d‐axis and q‐axis current components, single PI control loops have been implemented for all pole‐phase combinations. The proposed IFOC scheme is robust and applicable for adopting any type of pulse width modulation. The experimental, as well as simulation results, are given to illustrate the potentiality of the proposed dynamic model and IFOC. The PPMIM machine performance during the steady state as well as pole changeovers in different pole phase modes are analyzed and associated. Simulation and experimental results are presented.

Other Information

Published in: IET Power Electronics
License: http://creativecommons.org/licenses/by-nc/4.0/
See article on publisher's website: https://dx.doi.org/10.1049/pel2.12381

Funding

Open Access funding provided by the Qatar National Library.

History

Language

  • English

Publisher

Institution of Engineering and Technology

Publication Year

  • 2022

License statement

This Item is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License

Institution affiliated with

  • Qatar University
  • College of Engineering - QU