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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.

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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 http://hdl.handle.net/10536/DRO/DU:30064481

Document type: Journal Article
Collection: School of Engineering
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