Title :
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
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;
Conference_Titel :
Environment and Electrical Engineering (EEEIC), 2013 13th International Conference on
Conference_Location :
Wroclaw
Print_ISBN :
978-1-4799-2802-6
DOI :
10.1109/EEEIC-2.2013.6737911
