Synchronous reluctance machine geometry optimisation through a genetic algorithm based technique

In this study, the design optimisation of a synchronous reluctance machine for light electric vehicles is proposed, to increase efficiency and reduce torque ripples. The existing machine was structurally optimised, using dedicated genetic algorithms, replacing only the rotor and keeping the stator a...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	IET electric power applications Ročník 12; číslo 3; s. 431 - 438
Hlavní autoři:	Ruba, Mircea, Jurca, Florin, Czumbil, Levente, Micu, Dan D, Martis, Claudia, Polycarpou, Alexis, Rizzo, Renato
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	The Institution of Engineering and Technology 01.03.2018
Témata:	complex co‐simulation dedicated genetic algorithms design optimisation electric vehicles finite element analysis software Flux2D genetic algorithms genetic algorithm‐based technique inductance characteristics light electric vehicles machine performances Matlab mean torque optimisation process optimised rotor design reluctance machines Research Article rotor architecture rotor skewing rotors stator stators synchronous reluctance machine geometry optimisation torque loss torque ripple reduction rotors synchronous reluctance machine geometry optimisation machine performances electric vehicles genetic algorithm-based technique torque loss Flux2D genetic algorithms design optimisation dedicated genetic algorithms light electric vehicles stators mean torque inductance characteristics rotor architecture rotor skewing reluctance machines optimised rotor design complex co-simulation torque ripple reduction stator finite element analysis software optimisation process Matlab
ISSN:	1751-8660, 1751-8679, 1751-8679
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!