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

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.


Publié dans:
Control Engineering Practice, 83, 11-20
Année
Feb 01 2019
Publisher:
Oxford, PERGAMON-ELSEVIER SCIENCE LTD
ISSN:
0967-0661
1873-6939
Mots-clefs:
Laboratoires:




 Notice créée le 2019-02-08, modifiée le 2019-06-19


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