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

Petros Karamanakos; Tobias Geyer; Ralph Kennel

doi:10.1109/ECCE.2014.6953878

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

Petros Karamanakos, Tobias Geyer, Ralph Kennel

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

27 Citations (Scopus)

2 Downloads (Pure)

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.

Original language	English
Title of host publication	2014 IEEE Energy Conversion Congress and Exposition, ECCE 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3512-3519
Number of pages	8
ISBN (Electronic)	9781479956982
DOIs	https://doi.org/10.1109/ECCE.2014.6953878
Publication status	Published - 15 Sep 2014
Publication type	A4 Article in a conference publication

ASJC Scopus subject areas

Fuel Technology
Energy Engineering and Power Technology

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10.1109/ECCE.2014.6953878

Reformulation of the long-horizon direct model 2014
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http://urn.fi/URN:NBN:fi:tuni-202004173336

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Reformulation of the long-horizon direct model predictive control problem to reduce the computational effort. / Karamanakos, Petros; Geyer, Tobias; Kennel, Ralph.

2014 IEEE Energy Conversion Congress and Exposition, ECCE 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 3512-3519.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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

Abstract

ASJC Scopus subject areas

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