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A Direct Model Predictive Control Strategy With an Implicit Modulator for Six-Phase PMSMs

  • Tianjin Univ.
  • Technical University of Munich
  • Tampere University

Research output: Contribution to journalArticlepeer-review

28 Scopus citations

Abstract

This article proposes a direct model predictive control (MPC) scheme for asymmetric six-phase permanent magnet synchronous machines (PMSMs), which combines control and modulation in one computation stage. By emulating the switching pattern of space vector modulation (SVM), the MPC problem is formulated as a 4-D current control problem where the switching sequences and instants are computed and directly applied to the inverters. This implicit modulation addresses the issue of a variable switching frequency and spread harmonic spectra of conventional direct MPC methods. Moreover, the effect of the modulation constraints and controller bandwidth on the system performance is investigated as well. To verify the effectiveness of the proposed control strategy, experiments are carried out with an asymmetric six-phase PMSM driven by two three-phase two-level inverters.

Original languageEnglish
Pages (from-to)1291-1304
Number of pages14
JournalIEEE Journal of Emerging and Selected Topics in Power Electronics
Volume11
Issue number2
DOIs
StatePublished - 1 Apr 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Harmonic elimination
  • implicit modulator
  • model predictive control (MPC)
  • modulation constraints
  • multiphase machines

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