FPGA implementation of optimal and approximate model predictive control for a buck-boost DC-DC converter

V. Spinu, A. Oliveri, M. Lazar, M. Storace

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20 Citations (Scopus)
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Abstract

This paper proposes a method for FPGA implementation of explicit, piecewise af¿ne (PWA) model predictive control (MPC) laws for non-inverting buck-boost DC-DC converters. A novel approach to obtain a PWA model of the power converter is proposed and two explicit MPC laws are derived, i.e., one based on the standard approach to synthesis of explicit MPC and one based on a simplicial PWA approximation of the resulting MPC law, which permits a more ef¿cient implementation. An FPGA circuit is designed for both the original and the approximating MPC control law. Two hardware architectures with different FPGA footprint and computation latency are developed for each control law. Extensive real-time experiments demonstrate the performance of the two MPC controllers and their computational characteristics.
Original languageEnglish
Title of host publicationProceedings of the 2012 IEEE International Conference on Control Applications (CCA), 3-5 October 2012, Dubrovnik, Croatia
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages1417-1423
ISBN (Print)978-1-4673-4504-0
DOIs
Publication statusPublished - 2012

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