Naslov
Optimization of Double-Cage Induction Motor Using Complex Finite Element Analysis, Artificial Neural Network and Genetic Algorithm

Autori
Smajić, Jasmin ; Madžarević, Vlado ; Berberović, Sead

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

Izvornik
9th International IGTE Symposium on Numerical Field Calculation in Electrical Engineering / Preis, Kurt - Graz : Technische Universitaet Graz, 2000, 27-31

Skup
9th International IGTE Symposium on Numerical Field Calculation in Electrical Engineering

Mjesto i datum
Graz, Austrija, 11.09.2000. - 13.09.2000

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
radial basis functions neural network; genetic algorithm; finite element method

Sažetak
An efficient method for double-cage induction motor optimization is presented. The basic idea of this approach is an using artificial neural network to make fast motor performances computation process. Numerical calculation of induction machine electrical parameters is based on finite element magnetic field computation process. The calculation time is significant reduced using the neural network. For the induction machine geometry optimization process is used genetic algorithm with user definable target function.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

POVEZANOST RADA