A predictive control approach for DC-DC power converters and cyclic switched systems

Author

Patino, D. ; Riedinger, P. ; Ruiz, F.

Author_Institution

Pontificia Univ. Javeriana, Bogota, Colombia

fYear

2010

fDate

14-17 March 2010

Firstpage

1259

Lastpage

1264

Abstract

Classical control laws for power converters are based on the average model. Usually, they have a good performance in the transient. Nevertheless, the steady state behavior is not well-controlled (waveform, subharmonics, etc.). This article shows a predictive approach that reaches an optimal periodic cycle from a set-point of the average model. The method uses the sensitivity functions and a Newton algorithm which allows to track an optimal trajectory based on a cost function.

Keywords

DC-DC power convertors; Newton method; optimal control; predictive control; switching convertors; DC-DC power converters; Newton algorithm; average model set-point; cost function; cyclic switched systems; optimal periodic cycle; optimal trajectory; predictive control approach; sensitivity functions; steady state behavior; Control systems; DC-DC power converters; Frequency; Predictive control; Predictive models; Sampling methods; Steady-state; Switched systems; Switches; Voltage; Cycle; Gauss-Newton algorithm; non-linear programming; sensitivity function;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Technology (ICIT), 2010 IEEE International Conference on

Conference_Location

Vi a del Mar

Print_ISBN

978-1-4244-5695-6

Electronic_ISBN

978-1-4244-5696-3

Type

conf

DOI

10.1109/ICIT.2010.5472624

Filename

5472624