Pregled bibliografske jedinice broj: 947268
OPTIMIZATION BY EVOLUTIONARY ALGORITHM AND FEM TOOLS: EXAMPLE ON SWITCHED RELUCTANCE MOTOR
OPTIMIZATION BY EVOLUTIONARY ALGORITHM AND FEM TOOLS: EXAMPLE ON SWITCHED RELUCTANCE MOTOR // 7th International Symposium on Applied Electromagnetics: Book of Abstracts / Seme, Sebastijan ; Hadžiselimović, Miralem ; Štumberger, Bojan (ur.).
Maribor: Univerzitetna založba Univerze v Mariboru, 2018. str. 17-18 doi:10.18690/978-961-286-241-1 (predavanje, međunarodna recenzija, prošireni sažetak, znanstveni)
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Naslov
OPTIMIZATION BY EVOLUTIONARY ALGORITHM AND FEM TOOLS: EXAMPLE ON SWITCHED RELUCTANCE MOTOR
Autori
Barukčić, Marinko ; Hederić, Željko ; Benšić, Tin ; Ćorluka, Venco
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, prošireni sažetak, znanstveni
Izvornik
7th International Symposium on Applied Electromagnetics: Book of Abstracts
/ Seme, Sebastijan ; Hadžiselimović, Miralem ; Štumberger, Bojan - Maribor : Univerzitetna založba Univerze v Mariboru, 2018, 17-18
ISBN
978-961-286-241-1
Skup
7th International Symposium on Applied Electromagnetics (SAEM 18)
Mjesto i datum
Podčetrtek, Slovenija, 17.06.2018. - 20.06.2018
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
evolutionary optimization, cosimulation, FEM, SRM
Sažetak
The application of the numerical mathematic calculation makes possible to solve very complex mathematical device models. This make able to use less neglecting and approximations in the device model which leads more realistic modelling of the devices. In case of the electrical machines the calculation of the electromagnetic fields based on Finite Element Method (FEM) is usually used for this purpose. Using FEM numerical method for simulation of the switched reluctance motor (SRM) calculations with higher accuracy can be obtained. The examples of the optimization of the SRM design can be found in [1], [2]. Thera are simulation tools for FEM simulation of the electromagnetic fields can be used for simulation of SRM. Using such simulation tools in optimization process of the SRM design required black–box optimization approach. Because of this, the optimization method can handle with black–box optimization need to be used in this case. The Evolutionary Algorithms (EA) are used here because they belong to class of global optimizer. Global optimizer no need additional information about the objective function but only the numerical function values. There are the evolutionary optimization tools as standalone tool also.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek