Neural control of boost converters' input current (CROSBI ID 473985)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Petrović, Ivan ; Magzan, Ante ; Perić, Nedjeljko ; Matuško, Jadranko
engleski
Neural control of boost converters' input current
An application of neural networks in the cascade control structure of a boost converter is investigated. Inverse model of process realized using two-layered MLP neural network is used as the input current controller. A LevenbergMarquardt learning algorithm is employed for off-line adjustment of the network weights and biases. This control structure ensures good performance in all operating regions and compensation of ripples in converter's input current caused by variations of the input voltage. Advantages of the proposed control structure are demonstrated through experimental comparison to the PI controller (with and without manually adjusted feed forward compensator).
power converters; current control; harmonics; neural networks; boost converters; inverse control
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Podaci o prilogu
19-24-x.
2000.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of 9th International Conference And Exhibition on Power Electronics and Motion Control Vol. 3 of 7
Fedak, Viliam ; Fetyko, Jan ; Dudrik, Jaroslav ; Fedor, Jozef
Košice: Vienala Publishing House, Košice
Podaci o skupu
9th International Conference and Exibition on Power Electronics and Motion Control
predavanje
05.09.2000-07.09.2000
Košice, Slovačka