Model predictive control for permanent magnet synchronous motor drives considering cross-saturation effects

Panagiotis Kakosimos, Minos Beniakar, Yushan Liu, Haitham Abu-Rub

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Citations (Scopus)

Abstract

This paper presents a control strategy for permanent magnet synchronous motors (PMSMs) based on finite-state model predictive control (FS-MPC). The predictive model is enhanced by incorporating saturation and cross-coupling effects on the dq-axis flux linkages of the motor. Although a surface PMSM is used, the maximum torque per ampere (MTPA) trajectory is found dependent on both dq-axis currents and affected by geometrical saliencies. The dependence of the dq-axis inductances is inserted into the control law of the developed MPC routine, thus improving the model accuracy. The performance of the direct predictive torque controller is tested by controlling a PMSM drive supplied by a neutral-point clamped inverter. Implementation results have proven that the proposed control scheme can effectively satisfy the requirements that arise from both the PMSM and the inverter.

Original languageEnglish
Title of host publication2017 IEEE Applied Power Electronics Conference and Exposition, APEC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1880-1885
Number of pages6
ISBN (Electronic)9781509053667
DOIs
Publication statusPublished - 17 May 2017
Externally publishedYes
Event32nd Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2017 - Tampa, United States
Duration: 26 Mar 201730 Mar 2017

Publication series

NameConference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC

Conference

Conference32nd Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2017
Country/TerritoryUnited States
CityTampa
Period26/03/1730/03/17

Keywords

  • Electric drive
  • Neutral-point clamped inverter
  • Nonlinear
  • Permanent magnet drives
  • Predictive control

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