Virtual-Vector-Based Robust Predictive Current Control for Dual Three-Phase PMSM

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Detail(s)

Original languageEnglish
Article number9005390
Pages (from-to)2048-2058
Journal / PublicationIEEE Transactions on Industrial Electronics
Volume68
Issue number3
Online published20 Feb 2020
Publication statusPublished - Mar 2021

Abstract

Parameter mismatches in a control scheme would cause the additional harmonic components and torque ripples in permanent magnet synchronous machines (PMSMs). Moreover, there is an additional leakage inductance mismatch in dual three-phase PMSM when comparing with its three-phase counterparts. In this article, a robust model predictive current control (MPCC) scheme is proposed in order to release the parameter dependence of model predictive control (MPC) in application of dual three-phase PMSM. First, the parameter sensitivity of conventional MPC in dual three-phase PMSM is discussed. Then, an incremental predictive model is applied to reject the influence of flux mismatch. Additionally, the concept of virtual vectors is introduced to deal with the influence of leakage inductance. In this case, the predictive errors are the result of inductance mismatches. Therefore, the inductance information could be obtained through the predictive errors. Finally, a discrete inductance compensation system is applied to update inductance. Comparative simulation and experimental results both verify that the proposed robust MPCC scheme could estimate the inductance information and eliminate the influence of parameter mismatches.

Research Area(s)

  • Dual three-phase permanent magnet synchronous machines (PMSMs), model predictive current control (MPCC), parameter mismatch, predictive control