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Constrained Long-Horizon Direct Model Predictive Control for Synchronous Reluctance Motor Drives

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

Details

Original languageEnglish
Title of host publication2018 IEEE 19th Workshop on Control and Modeling for Power Electronics, COMPEL 2018
PublisherIEEE
Number of pages8
ISBN (Print)9781538655412
DOIs
Publication statusPublished - 10 Sep 2018
Publication typeA4 Article in a conference publication
EventIEEE Workshop on Control and Modeling for Power Electronics - Padova, Italy
Duration: 25 Jun 201828 Jun 2018

Conference

ConferenceIEEE Workshop on Control and Modeling for Power Electronics
CountryItaly
CityPadova
Period25/06/1828/06/18

Abstract

A finite control set model predictive control strategy for the control of the stator currents of a synchronous reluctance motor driven by a three-level neutral point clamped inverter is presented in this paper. The presented algorithm minimizes the stator current distortions while operating the drive system at switching frequencies of a few hundred Hertz. Moreover, the power electronic converter is protected by overcurrents and/or overvoltages owing to a hard constraint imposed on the stator currents. To efficiently solve the underlying integer nonlinear optimization problem a sphere decoding algorithm serves as optimizer. To this end, a numerical calculation of the unconstrained solution of the optimization problem is proposed, along with modifications in the algorithm proposed in [1] so as to meet the above-mentioned control objectives. Simulation results show the effectiveness of the proposed control algorithm.