DocumentCode :
2629884
Title :
Control of a boost converter for resistive input behavior in the continuous conduction mode
Author :
Roshan, Yaser M. ; Moallem, M.
Author_Institution :
Sch. of Eng. Sci., Simon Fraser Univ., Surrey, BC, Canada
fYear :
2012
fDate :
25-28 Oct. 2012
Firstpage :
310
Lastpage :
315
Abstract :
Maximum energy transfer from an arbitrary voltage source containing multiple frequencies is of great interest in various renewable energy systems involving irregular sources of power such as wind, and wave, in which the amplitude and frequency of the input voltage is time varying. This paper presents the development of a control algorithm for a boost converter operating in the continuous conduction mode so that it exhibits a resistive behavior from its input terminals. In particular, the model of a boost converter operating under the continuous conduction mode is utilized to obtain a relationship between the input voltage and current of the converter. Next a nonlinear feedback controller is developed that regulates the converter input resistance to a desired value. Controlling the input resistance of the converter can result in the unity power factor, and maximum power transfer to a storage system such as a battery or a DC link. Numerical simulations are presented that evaluate performance of the proposed modeling scheme and control system. Performance of the proposed controller in an experimental setting is currently under investigation, and will be presented at the conference.
Keywords :
DC-DC power convertors; feedback; nonlinear control systems; power factor; renewable energy sources; arbitrary voltage source; boost converter; continuous conduction mode; converter input resistance; energy transfer; maximum power transfer; nonlinear feedback controller; renewable energy systems; resistive input behavior; unity power factor; Educational institutions; Lead;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Montreal, QC
ISSN :
1553-572X
Print_ISBN :
978-1-4673-2419-9
Electronic_ISBN :
1553-572X
Type :
conf
DOI :
10.1109/IECON.2012.6388628
Filename :
6388628
Link To Document :
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