Heuristic finite-set model predictive current control for induction machines

Peter Stolze, Males Tomlinson, Ralph Kennel, Toit Mouton

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

35 Scopus citations

Abstract

This paper presents a heuristic Finite-Set Model Predictive Control (FS-MPC) strategy for current control of induction machines. FS-MPC methods are very intuitive and easy to understand; furthermore, they in general offer the possibility to control any nonlinear system with arbitrary user-defined terms in the cost function and do not require a modulator. One of their most important drawbacks is the necessary calculation effort which rises exponentially with the prediction horizon. Especially for multilevel inverters this can be a crucial factor for a successful real-time implementation. The proposed heuristic strategy for reducing the calculation effort can also be extended to multilevel inverters. The algorithm is verified experimentally for FS-MPC current control of an induction machine with three prediction steps.

Original languageEnglish
Title of host publication2013 IEEE ECCE Asia Downunder - 5th IEEE Annual International Energy Conversion Congress and Exhibition, IEEE ECCE Asia 2013
Pages1221-1226
Number of pages6
DOIs
StatePublished - 2013
Event2013 IEEE ECCE Asia Downunder - 5th IEEE Annual International Energy Conversion Congress and Exhibition, IEEE ECCE Asia 2013 - Melbourne, VIC, Australia
Duration: 3 Jun 20136 Jun 2013

Publication series

Name2013 IEEE ECCE Asia Downunder - 5th IEEE Annual International Energy Conversion Congress and Exhibition, IEEE ECCE Asia 2013

Conference

Conference2013 IEEE ECCE Asia Downunder - 5th IEEE Annual International Energy Conversion Congress and Exhibition, IEEE ECCE Asia 2013
Country/TerritoryAustralia
CityMelbourne, VIC
Period3/06/136/06/13

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