Hybrid exploration state for the simplified finite control set-model predictive control with a deadbeat solution for reducing the current ripple in permanent magnet synchronous motor

Alireza Abbaszadeh, Davood Arab Khaburi, Ralph Kennel, José Rodríguez

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

This research tends to provide a novel exploration state for finite control set-model predictive control. The aim of this study is to reduce the line current ripple at a given average switching frequency. The proposed method with hybrid exploration state divides the space vector plane into two regions. Each conventional exploration state is applied to a region, which would result in a lower root mean square current ripple. The above-mentioned procedure is based on the calculation of the stator flux ripple in the stationary reference frame during the sampling time. Consequently, a simple expression based on the magnitude and the phase angle of the reference voltage vector will be obtained, which can be employed as a measure for the current ripple. The superior performance of the proposed method over the conventional exploration state methods is verified by the theoretical results and the experimental tests.

Original languageEnglish
Pages (from-to)823-835
Number of pages13
JournalIET Electric Power Applications
Volume11
Issue number5
DOIs
StatePublished - 1 May 2017

Fingerprint

Dive into the research topics of 'Hybrid exploration state for the simplified finite control set-model predictive control with a deadbeat solution for reducing the current ripple in permanent magnet synchronous motor'. Together they form a unique fingerprint.

Cite this