Naslov
Application of a neural predictive controller in boost converter input current control

Autori
Petrović, Ivan ; Barić, Miroslav ; Magzan, Ante ; Perić, Nedjeljko

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

Izvornik
Proceedings of the 15th IEEE International Symposium on Intelligent Control / Groumpos, Peter P. ; Koussoulas, Nick T. ; Polycarpou Marios - Patras, 2000, 327-332

Skup
IEEE International Symposium on Intelligent Control (ISIC2000)

Mjesto i datum
Patras, Grčka, 17.07.2000. - 19.07.2000

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
uzlazni pretvarač; kompenzacija valovitosti ulazne struje; MLP neuronske mreže; prediktivno upravljanje
(boost converter; input current ripples compensation; MLP neural networks; predictive control.)

Sažetak
An application of a non-linear predictive controller in the cascade control structure of an boost converter is investigated. The neuro-predictive controller is realized as a non-linear optimizer, using Levenberg-Marquardt unconstrained optimization procedure. For the prediction of future process response two MLP neural networks are used. One network is used for modeling the converter dynamics and the other one for an on-line estimation of the converter?s input voltage. This structure ensures good performance in all operating regions and inherent compensation of ripples in converter?s input current, caused by variations of the input voltage. Advantages of the proposed control structure are demonstrated through the experimental comparison to a linear GPC with manually adjusted feed forward compensator.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

POVEZANOST RADA