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research article

A data-driven approach to model-reference control with applications to particle accelerator power converters

Nicoletti, Achille  
•
Martino, Michele
•
Karimi, Alireza  
February 1, 2019
Control Engineering Practice

A new model-reference data-driven approach is presented which uses the frequency response data of a system in order to avoid the problem of unmodeled dynamics associated with low-order parametric models. It is shown that a convex optimization problem can be formulated (in either the H-infinity , H-2 or H-1 sense) to shape the closed-loop sensitivity functions while guaranteeing the closed-loop stability. The effectiveness of the method is illustrated by considering several case studies where the proposed design scheme is applied in both simulation and to a power converter control system for a specific accelerator requirement at CERN.

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Type
research article
DOI
10.1016/j.conengprac.2018.10.007
Web of Science ID

WOS:000456903600002

Author(s)
Nicoletti, Achille  
Martino, Michele
Karimi, Alireza  
Date Issued

2019-02-01

Publisher

PERGAMON-ELSEVIER SCIENCE LTD

Published in
Control Engineering Practice
Volume

83

Start page

11

End page

20

Subjects

Automation & Control Systems

•

Engineering, Electrical & Electronic

•

Engineering

•

convex optimization

•

data-driven control

•

h-1 control

•

h-2 control

•

h-infinity control

•

power converter control

•

robust control

•

rst

•

frequency-domain

•

robust-control

•

eddy currents

•

design

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LA  
LA3  
LCSB  
Available on Infoscience
February 8, 2019
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/154401
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