Model Predictive Torque Control for Dual Three-Phase PMSMs with Simplified Deadbeat Solution and Discrete Space-Vector Modulation

Wusen Wang, Chunhua Liu*, Senyi Liu, Hang Zhao

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

57 Citations (Scopus)

Abstract

Unprecise voltage vectors applied in conventional model predictive control (MPC) would cause additional ripples in electromagnetic torque. To eliminate the problem, this paper proposes an improved model predictive torque control (MPTC) based on deadbeat solution and discrete space-vector modulation (DSVM) for dual three-phase permanent magnet synchronous machines (PMSMs). First, deadbeat-direct torque and flux control (DB-DTFC) algorithm is applied and simplified, so that the computational burden can be reduced. Second, the virtual voltage vectors (VVVs) are adopted in dual three-phase voltage vector space to reduce voltage harmonics. Also, the DSVM is further proposed in this VVVs based vector space to generate more voltage vectors. After that, the simplified DB-DTFC and the DSVM scheme are artfully combined to select suitable voltage vector candidates for the MPTC, and the best one is then chosen to control the dual three-phase PMSMs. Finally, both simulation and experimental results are given to verify the effectiveness of the proposed method.
Original languageEnglish
Pages (from-to)1491-1499
JournalIEEE Transactions on Energy Conversion
Volume36
Issue number2
Online published15 Jan 2021
DOIs
Publication statusPublished - Jun 2021

Research Keywords

  • Deadbeat control
  • direct torque control
  • discrete space-vector modulation (DSVM)
  • dual three-phase machine
  • model predictive torque control (MPTC)
  • PMSM
  • virtual voltage vector

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