A Hybrid Two-Stage Control Solution for Six-Phase PMSM Motor with Improved Performance

Yixiao Luo, Xiaodong Zhang, Shuangxia Niu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

10 Citations (Scopus)

Abstract

This article proposes a hybrid two-stage control solution for a six-phase permanent magnet synchronous machine (PMSM) motor with enhanced control performance. The original direct torque control (DTC) and model predictive control (MPC) are artfully integrated together to alleviate the computational burden and the harmonic currents. The proposed method is implemented in two steps. First, the original DTC method is adopted to determine the orientation vector from six existing vectors. It is worthy to mention that the orientation vector is different from the commonly used reference vector calculated through the deadbeat control theory. Second, the prediction vectors located in the same sector with the orientation vector will be evaluated in the original MPC manner. In this way, the enumeration of all the prediction vectors is avoided and the computational burden is avoided. In addition, discrete duty ratios are assigned to define other two groups of virtual vectors to enhance the current quality. In this way, high-performance control of a six-phase motor can be achieved by simply combining the standard DTC and MPC control structure. Experimental results have been used to assess the goodness of the proposed method.

Original languageEnglish
Pages (from-to)5435-5445
Number of pages11
JournalIEEE Journal of Emerging and Selected Topics in Power Electronics
Volume10
Issue number5
DOIs
Publication statusPublished - 1 Oct 2022

Keywords

  • Direct torque control (DTC)
  • discrete space vector
  • model predictive control (MPC)
  • orientation vector
  • permanent magnet synchronous machine (PMSM) motor

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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