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Reformulation of the long-horizon direct model predictive control problem to reduce the computational effort

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

Details

Original languageEnglish
Title of host publication2014 IEEE Energy Conversion Congress and Exposition, ECCE 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3512-3519
Number of pages8
ISBN (Electronic)9781479956982
DOIs
Publication statusPublished - 15 Sep 2014
Publication typeA4 Article in a conference publication

Abstract

For direct model predictive control schemes with current reference tracking, the underlying integer least-squares (ILS) problem is reformulated to reduce the computational complexity of the solution stage. This is achieved by exploiting the geometry of the ILS problem and by reducing the computations needed for its formulation and solution. A lattice reduction and a sphere decoding algorithm are implemented. A variable speed drive system with a three-level voltage source inverter serves as an illustrative example to demonstrate the effectiveness of the proposed algorithm.