Predictive Control of Power Converters: Designs With Guaranteed Performance

Author

Aguilera, Ricardo P. ; Quevedo, Daniel E.

Author_Institution

Sch. of Electr. Eng. & Telecommun., Univ. of New South Wales, Sydney, NSW, Australia

Volume

11

Issue

1

fYear

2015

fDate

Feb. 2015

Firstpage

53

Lastpage

63

Abstract

In this work, a cost function design based on Lyapunov stability concepts for finite control set model predictive control is proposed. This predictive controller design allows one to characterize the performance of the controlled converter, while providing sufficient conditions for local stability for a class of power converters. Simulation and experimental results on a buck dc-dc converter and a two-level dc-ac inverter are conducted to validate the effectiveness of our proposal.

Keywords

DC-DC power convertors; Lyapunov methods; control system synthesis; invertors; predictive control; stability; Lyapunov stability concepts; buck dc-dc converter; cost function design; finite control set model predictive control; local stability; power converters; two-level dc-ac inverter; Cost function; DC-DC power converters; Predictive control; Quantization (signal); Stability analysis; Steady-state; Switches; Controller performance; Predictive control; controller performance; finite control set; power conversion; predictive control; stability;

fLanguage

English

Journal_Title

Industrial Informatics, IEEE Transactions on

Publisher

ieee

ISSN

1551-3203

Type

jour

DOI

10.1109/TII.2014.2363933

Filename

6930782