DocumentCode
2593616
Title
Design of digital controllers for DC-DC converters based on rough set theory
Author
Tajiri, Leonardo L. ; Rosa, Paulo C. ; Ribeiro, Enio R.
Author_Institution
Univ. Fed. de Itajuba - UNIFEI, Itajuba, Brazil
fYear
2009
fDate
Sept. 27 2009-Oct. 1 2009
Firstpage
665
Lastpage
672
Abstract
This paper investigates and proposes the use of the rough set theory as an innovative approach to digitally control static DC-DC converters. Rough set theory is a powerful mathematical tool which is able to produce a set of rules that represents the behavior of a certain system. PID and fuzzy controllers applied to the buck and boost converters, respectively, are used as model controllers. Each controller is implemented and tested and some of its signals are sampled to produce a database. A set of rules is derived from the application of rough set theory to this database. These rules are used to generate a digital controller - the RS digital controller which has a behavior similar to the model controller. The RS digital controller is then applied to the buck and boost converters. Theoretical aspects of rough set theory and the RS digital controller design are presented. Additionally, simulation results are provided and analyzed. They show the functionality of the RS digital controllers and validate the proposed approach.
Keywords
DC-DC power convertors; control system synthesis; digital control; fuzzy control; rough set theory; three-term control; DC-DC converters; PID controllers; boost converters; buck converters; digital controller design; fuzzy controllers; rough set theory; Circuit topology; DC-DC power converters; Digital control; Genetic expression; Power generation; Power harmonic filters; Power system harmonics; Set theory; Transformers; Voltage; Buck and boost converters; RS digital controller; digital control; rough set control; rough set theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Electronics Conference, 2009. COBEP '09. Brazilian
Conference_Location
Bonito-Mato Grosso do Sul
ISSN
2175-8603
Print_ISBN
978-1-4244-3369-8
Electronic_ISBN
2175-8603
Type
conf
DOI
10.1109/COBEP.2009.5347710
Filename
5347710
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