Predictive control of permanent magnet synchronous motor with non-sinusoidal flux distribution for torque ripple minimisation using the recursive least square identification method

Alireza Abbaszadeh, Davood Arab Khaburi, José Rodríguez

Research output: Contribution to journalArticlepeer-review

19 Citations (Scopus)

Abstract

To reduce the torque ripple of permanent magnet synchronous motor with non-sinusoidal flux distribution, a new method is presented in this study. This method is based on model predictive control (MPC). MPC is a model-based control and requires an accurate model of the motor. A sliding mode observer, accompanied with a recursive least square estimator, is utilised to determine the magnitudes of the harmonics of the back electromotive force (EMF) waveforms. The appropriate current harmonics, considering the back EMF harmonics, are injected to shape the motor current. The interaction of non-sinusoidal back EMF and the shaped current leads to torque ripple reduction. The experimental results verify the effectiveness of the proposed method.

Original languageEnglish
Pages (from-to)847-856
Number of pages10
JournalIET Electric Power Applications
Volume11
Issue number5
DOIs
Publication statusPublished - 1 May 2017

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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