Analysis of controlled permanent magnet synchronous motor using artificial neural network

Author

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

Author_Institution

Ain Shams Univ., Cairo, Egypt

Volume

2

fYear

2001

fDate

37104

Firstpage

791

Abstract

This paper presents a modern approach of speed control for permanent magnet synchronous motors (PMSM) using on-line artificial neural network (ANN) techniques. 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. On-line 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 show good dynamic response with fast recovery time

Keywords

dynamic response; learning (artificial intelligence); machine control; neural nets; neurocontrollers; permanent magnet motors; robust control; synchronous motors; 3-phase motor; ANN controller; PMSM; brushless DC motors; dynamic response; fast convergence; fast recovery time; neural network controller; on-line artificial neural network; operating conditions; permanent magnet synchronous motors; speed control; step change; AC motors; Artificial neural networks; Brushless DC motors; DC motors; Inverters; Magnetic analysis; Permanent magnet motors; Stators; Synchronous motors; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Machines and Systems, 2001. ICEMS 2001. Proceedings of the Fifth International Conference on

Conference_Location

Shenyang

Print_ISBN

7-5062-5115-9

Type

conf

DOI

10.1109/ICEMS.2001.971795

Filename

971795