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

Content Provider	IEEE Xplore Digital Library
Author	Spinu, V. Oliveri, A. Lazar, M. Storace, M.
Copyright Year	2012
Description	Author affiliation: Department of Electrical Engineering, Eindhoven University of Technology, P.O. Box 513, 5600 MB, The Netherlands (Spinu, V.; Lazar, M.) \|\| DITEN, University of Genoa, Via Opera Pia 11a, 16145, Italy (Oliveri, A.; Storace, M.)
Abstract	This paper proposes a method for FPGA implementation of explicit, piecewise affine (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 efficient 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.
Starting Page	1417
Ending Page	1423
File Size	1173426
Page Count	7
File Format	PDF
ISBN	9781467345033
ISSN	10851992
e-ISBN	9781467345057
e-ISBN	9781467345040
DOI	10.1109/CCA.2012.6402444
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-03
Publisher Place	Croatia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Approximation methods Field programmable gate arrays Pulse width modulation Computer architecture Adaptation models Control systems Computational modeling
Content Type	Text
Resource Type	Article

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