Firing angles optimization for Switched Reluctance Generator using Genetic Algorithms

Author

Araujo, Wanderson R. H. ; Ganzaroli, Cleber A. ; Calixto, Wesley P. ; Alves, Aylton J. ; Viajante, Ghunter P. ; Reis, Marcio R. C. ; Silveira, Augusto F. V.

Author_Institution

Univ. of Brasilia, Brasilia, Brazil

fYear

2013

fDate

1-3 Nov. 2013

Firstpage

217

Lastpage

222

Abstract

This paper reports on a Switched Reluctance Machine (SRM) operating as generator excited through external power source. This device provides DC voltage output through its power converter. Parameters such as rotor speed, excitation voltage and firing angles interferes directly on the output voltage. Thus, many strategies have been studied and developed by scientific community in order to control the output voltage or achieve its maximization. This work proposes a driving strategy applied to the SRM that consists in obtaining the optimal firing angles in order to maximize the output voltage for given rotor speed and excitation. Simulations are presented for results analysis.

Keywords

genetic algorithms; power convertors; reluctance generators; rotors; excitation voltage; external power source; firing angles optimization; genetic algorithms; optimal firing; power converter; rotor speed; switched reluctance generator; Genetic algorithms; Inductance; Optimization; Reluctance machines; Rotors; Switches; Torque;

fLanguage

English

Publisher

ieee

Conference_Titel

Environment and Electrical Engineering (EEEIC), 2013 13th International Conference on

Conference_Location

Wroclaw

Print_ISBN

978-1-4799-2802-6

Type

conf

DOI

10.1109/EEEIC-2.2013.6737911

Filename

6737911