Vector control of a position sensorless SPMSM drive with RNN based stator flux estimator

Halder, Kalyan Kumar, Habibullah, M., Roy, Naruttam Kumar and Rafiq, M A. 2012, Vector control of a position sensorless SPMSM drive with RNN based stator flux estimator, Journal of electrical engineering, vol. 12, no. 2, pp. 1-8.

Attached Files
Name Description MIMEType Size Downloads

Title Vector control of a position sensorless SPMSM drive with RNN based stator flux estimator
Author(s) Halder, Kalyan Kumar
Habibullah, M.
Roy, Naruttam Kumar
Rafiq, M A.
Journal name Journal of electrical engineering
Volume number 12
Issue number 2
Start page 1
End page 8
Total pages 8
Publisher Universitatea Politehnica din Timisoara
Place of publication [Romania]
Publication date 2012
ISSN 1582-4594
Keyword(s) Surface permanent magnet synchronous motor
robust control
sensorless control
recurrent neural network
hysteresis current controller
Summary A position sensorless Surface Permanent Magnet Synchronous Motor (SPMSM) drive based on single layer Recurrent Neural Network (RNN) is presented in this paper. The motor equations are written in rotor fixed d-q reference frame. A PID controller is used to process the speed error to generate the reference torque current keeping the magnetizing current fixed. The RNN estimator is used to estimate flux components along the stator fixed stationary axes. The flux angle and the reference current phasor angle are used in vector rotator to generate the reference phase currents. Hysteresis current controller block controls the switching of the three phase inverter to apply voltage to the motor stator. Simulation studies on different operating conditions indicate the acceptability of the drive system. The proposed estimator can be used to accurately measure the motor fluxes and rotor angle over a wide speed range. The proposed control scheme is robust under load torque disturbances and motor parameter variations. It is also simple and low cost to implememnt in a practical environment
Language eng
Field of Research 099999 Engineering not elsewhere classified
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category C1.1 Refereed article in a scholarly journal
Persistent URL

Document type: Journal Article
Collection: School of Engineering
Connect to link resolver
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 80 Abstract Views, 1 File Downloads  -  Detailed Statistics
Created: Fri, 13 Jun 2014, 12:27:52 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact