High-speed direct model predictive control for power electronics

Bartolomeo Stellato, Paul J. Goulart

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Common approaches for direct model predictive control (MPC) for current reference tracking in power electronics suffer from the high computational complexity encountered when solving integer optimal control problems over long prediction horizons. We propose an efficient alternative method based on approximate dynamic programming, greatly reducing the computational burden and enabling sampling times under 25μs. Our approach is based on the offline minimization of an infinite horizon cost function estimate which is then applied to the tail cost of the MPC problem. This allows us to reduce the controller horizon to a very small number of stages improving overall controller performance. Our proposed algorithm is validated on a variable speed drive system with a three-level voltage source converter.

Original languageEnglish (US)
Title of host publication2016 European Control Conference, ECC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages129-134
Number of pages6
ISBN (Electronic)9781509025916
DOIs
StatePublished - Jan 6 2017
Externally publishedYes
Event2016 European Control Conference, ECC 2016 - Aalborg, Denmark
Duration: Jun 29 2016Jul 1 2016

Publication series

Name2016 European Control Conference, ECC 2016

Other

Other2016 European Control Conference, ECC 2016
CountryDenmark
CityAalborg
Period6/29/167/1/16

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Control and Optimization

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    Stellato, B., & Goulart, P. J. (2017). High-speed direct model predictive control for power electronics. In 2016 European Control Conference, ECC 2016 (pp. 129-134). [7810275] (2016 European Control Conference, ECC 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECC.2016.7810275