DocumentCode
159217
Title
System identification of a DC-DC converter system using a Fast Affine Projection algorithm
Author
Chen Wang ; Armstrong, Mark ; Gadoue, S. ; Missailidis, P.
Author_Institution
Sch. of Electr. & Electron. Eng., Newcastle Univ., Newcastle upon Tyne, UK
fYear
2014
fDate
8-10 April 2014
Firstpage
1
Lastpage
6
Abstract
This paper presents a real time system identification technique for DC-DC power buck converter applications. In order to achieve real time parameter identification and digital control within a power electronics system, fast convergence speed and low computational burden are necessary. The proposed algorithm, Fast Affine Projection, exhibit both of these requirements. It is applied in the field of power electronics for the first time, and is shown to offer superior performance to alternative techniques such as Least Mean Squares and Recursive Least Squares methods.
Keywords
DC-DC power convertors; digital control; feedback; least mean squares methods; parameter estimation; power electronics; three-term control; voltage control; dc-dc converter system; dc-dc power buck converter; digital control; fast affine projection algorithm; least mean squares; power electronics system; real time parameter identification; real time system identification technique; recursive least squares methods; system identification; voltage feedback PID control strategy.; adaptive control; buck converter; digital control; parameter estimation; system identification;
fLanguage
English
Publisher
iet
Conference_Titel
Power Electronics, Machines and Drives (PEMD 2014), 7th IET International Conference on
Conference_Location
Manchester
Electronic_ISBN
978-1-84919-815-8
Type
conf
DOI
10.1049/cp.2014.0347
Filename
6836949
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