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

Yitong Wu, Zhen Zhang, Qifan Yang, Wei Tian, Petros Karamanakos, Marcelo Lobo Heldwein, Ralph Kennel

Research output: Contribution to journalArticlepeer-review

12 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

Keywords

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

Fingerprint

Dive into the research topics of 'A Direct Model Predictive Control Strategy With an Implicit Modulator for Six-Phase PMSMs'. Together they form a unique fingerprint.

Cite this