Title :
SEPIC type DC-DC converter fuzzy model
Author :
Matute, Arnaldo ; Srefezza, Miguel
Author_Institution :
Dept. de Procesos y Sist., Univ. Simon Bolivar, Miranda, Venezuela
Abstract :
This paper presents the process to obtain a SEPIC type DC-DC converter fuzzy model. Takagi-Sugeno fuzzy inference system is used to implement it with the input signal and its variation, then to generate an output close to the Laplacian model. The fuzzy rules conclusions were established through an iterative learning process, where the Laplacian model is used as teacher signal. The obtained fuzzy model response is very similar to the real one without a heavy computational processing.
Keywords :
DC-DC power convertors; Laplace transforms; fuzzy control; fuzzy reasoning; iterative methods; learning (artificial intelligence); Laplacian model; SEPIC type DC-DC converter fuzzy model; Takagi-Sugeno fuzzy inference system; iterative learning process; single ended primary inductor converter; DC-DC power converters; Fuzzy systems; Inductors; Laplace equations; Pulse width modulation; Semiconductor diodes; Switches; Switching circuits; Switching converters; Voltage; Fuzzy identification; Learning method; SEPIC converter;
Conference_Titel :
ICCAS-SICE, 2009
Conference_Location :
Fukuoka
Print_ISBN :
978-4-907764-34-0
Electronic_ISBN :
978-4-907764-33-3
