Particle Swarm Optimization of Coupled Electromechanical Systems

被引：20

作者：

Al-Aawar, N. ^{[1
]}

Hijazi, T. M. ^{[1
]}

Arkadan, A. A. ^{[1
,2
]}

机构：

[1] Hariri Canadian Univ, Lebanon, NH USA

[2] Marquette Univ, Milwaukee, WI 53203 USA

来源：

IEEE TRANSACTIONS ON MAGNETICS | 2011年 / 47卷 / 05期

关键词：

Electric machines; fuel economy; hybrid electric vehicle; particle swarm optimization; DESIGN OPTIMIZATION; ENVIRONMENT;

D O I：

10.1109/TMAG.2010.2096802

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This work investigates the feasibility of utilizing an electromagnetic-team fuzzy logic (EM-TFL) robust identifier for use with the particle swarm optimization technique to increase the efficiency and fuel economy of a hybrid electric vehicle (HEV) powertrain system in series configuration. This optimization necessitates the characterization of the key electromechanical components of the hybrid electric powertrain system which includes a PMgenerator and an electric motor drive system. The basic objective of improving the fuel economy while maintaining the performance of the vehicle is met through the implementation of a particle swarm optimization algorithm.

引用

页码：1314 / 1317

页数：4

共 8 条

[1]

ALAAWAR N, P 2009 IEEE INT EL M, P109

[2]

[Anonymous], 970289 SAE

[3] Design optimization of ALA rotor SynRM drives using T-AI-EM environment [J].