FPGA-Implementation Friendly Long-Horizon Finite Control Set Model Predictive Control for High-Power Electronic Systems

Stefan Baltruweit, Eyke Liegmann, Petros Karamanakos, Ralph Kennel

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

2 Citations (Scopus)

Abstract

In this paper we present a branch-and-bound algorithm that facilitates the real-time implementation of long-horizon finite control set model predictive control (FCS-MPC) for high-power electronic systems. To achieve this, the optimization process is modified such that the more likely candidates (i.e., the switching sequences with less switching transitions) are explored first. By doing so, computational demanding operations can be efficiently pipelined in a field-programmable gate array (FPGA), rendering the proposed method computationally feasible. The effectiveness of the introduced method is tested both in an FPGA-in-the-loop simulation and with a real-world setup based on a scaled-down low-voltage variable speed drive system consisting of a three-level neutral point clamped inverter and an induction machine. As shown, a real-time implementation with horizon length of twelve is achieved without sacrificing optimality.

Original languageEnglish
Title of host publicationProceedings of the Energy Conversion Congress and Exposition - Asia, ECCE Asia 2021
PublisherIEEE
Pages1823-1828
Number of pages6
ISBN (Electronic)9781728163444
ISBN (Print)9781728163451
DOIs
Publication statusPublished - 2021
Publication typeA4 Article in conference proceedings
EventIEEE Energy Conversion Congress and Exposition - Asia - Virtual, Singapore, Singapore
Duration: 24 May 202127 May 2021

Publication series

NameInternational Conference on Power Electronics
ISSN (Print)2150-6078
ISSN (Electronic)2150-6086

Conference

ConferenceIEEE Energy Conversion Congress and Exposition - Asia
Country/TerritorySingapore
CityVirtual, Singapore
Period24/05/2127/05/21

Publication forum classification

  • Publication forum level 1

ASJC Scopus subject areas

  • Control and Optimization
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Mechanical Engineering

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