Naslov
Neural control of boost converters' input current

Autori
Petrović, Ivan ; Magzan, Ante ; Perić, Nedjeljko ; Matuško, Jadranko

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
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, 2000, 19-24

Skup
9th International Conference and Exibition on Power Electronics and Motion Control

Mjesto i datum
Košice, Slovačka, 05.09.2000. - 07.09.2000

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
power converters; current control; harmonics; neural networks; boost converters; inverse control

Sažetak
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 Levenberg–Marquardt 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).

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

POVEZANOST RADA