Model predictive control for DC-DC boost converters with constant switching frequency

Long Cheng, Pablo Acuna, Ricardo P. Aguilera, Mihai Ciobotaru, Jiuchun Jiang

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

16 Citations (Scopus)

Abstract

Boost converters are widely used in several applications such as solar PV systems, energy storage systems, etc. In order to improve its dynamic performance, several model predictive control (MPC) strategies have been proposed to govern this DC-DC converter. However, in general, they require long prediction horizons to achieve a stable closed-loop due to its well-known non-minimum phase behavior. A simple but effective MPC strategy for DC-DC boost converters is proposed in this work. The advantage of this proposal is that it requires only one-step prediction horizon to govern the converter. Moreover, the proposed controller belongs to the continuous control set MPC (CCS-MPC) family, which provides a constant switching frequency.
Original languageEnglish
Title of host publication2016 IEEE 2nd Annual Southern Power Electronics Conference (SPEC 2016)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1151-1156
Number of pages6
ISBN (Electronic)9781509015467
ISBN (Print)9781509015474
DOIs
Publication statusPublished - 2016
Externally publishedYes
Event2016 IEEE 2nd Annual Southern Power Electronics Conference, SPEC 2016 - Auckland, New Zealand
Duration: 5 Dec 20169 Dec 2016

Conference

Conference2016 IEEE 2nd Annual Southern Power Electronics Conference, SPEC 2016
CountryNew Zealand
CityAuckland
Period5/12/169/12/16

Keywords

  • control design
  • converters
  • DC-DC power converters
  • predictive control
  • Predictive models

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