Analysis of permanent magnet synchronous motor using artificial neural network for electric vehicles

Author

Elwer, A.S. ; Wahsh, S.A. ; Saleh, Kh. ; Badr, M.A.

Author_Institution

Electron. Res. Inst., Giza, Egypt

fYear

2004

fDate

19-23 April 2004

Firstpage

143

Lastpage

144

Abstract

This work presents a modern approach of speed control for permanent magnet synchronous motor (PMSM) using online artificial neural network (ANN). The overall system will be simulated under various operating conditions. The use of ANN as a controller makes the drive robust, with faster dynamic response higher accuracy and insensitive to load variation. Online training of the ANN is carried out and the results show fast convergence. After training the ANN the system is tested for a step change in load, the simulation results showing good dynamic response with fast recovery time.

Keywords

electric vehicles; electrical engineering computing; learning (artificial intelligence); synchronous motor drives; velocity control; ANN; dynamic response; electric vehicles; online artificial neural network; permanent magnet synchronous motor; speed control; Artificial neural networks; Convergence; Electric vehicles; Load management; Magnetic analysis; Permanent magnet motors; Robust control; System testing; Vehicle dynamics; Velocity control;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Communication Technologies: From Theory to Applications, 2004. Proceedings. 2004 International Conference on

Print_ISBN

0-7803-8482-2

Type

conf

DOI

10.1109/ICTTA.2004.1307657

Filename

1307657