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High-speed direct model predictive control for power electronics

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 funct...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/ECC.2016.7810275

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
Publisher:
Institute of Electrical and Electronics Engineers Publisher's website
Journal:
2016 European Control Conference (ECC) Journal website
Host title:
2016 European Control Conference (ECC)
Publication date:
2017-01-09
Acceptance date:
2016-02-29
DOI:
Source identifiers:
620203
Keywords:
Pubs id:
pubs:620203
UUID:
uuid:b829c6ad-c2f5-4fca-8329-eb61963c0e41
Local pid:
pubs:620203
Deposit date:
2016-05-11

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