Recurrent Neural Network Based Control Of Series-Connected Five-Phase Two-Motor Drive System

M. Rizwan Khan*, Atif Iqbal**
*,** Department of Electrical Engineering, Aligarh Muslim University, Aligarh.
Periodicity:January - March'2009
DOI : https://doi.org/10.26634/jee.2.3.259

Abstract

A number of research papers have been reported on control issues of multi-phase machines and multi-phase multi-motor machines for high performance ac motor drive system. Variable speed induction motor drives without mechanical speed sensors at the motor shaft have the attractions of low cost and high reliability. To replace the sensor, information of the rotor speed is extracted from measured stator currents and voltages at motor terminals. Open-loop estimators or closed-loop observers are used for this purpose. They differ with respect to accuracy, robustness, and sensitivity against model parameter variations. This paper analyses operation of a Recurrent Neural Network based sensorless control of vector controlled series-connected two-motor five-phase drive system. Responses obtained with vector control, is presented for various operating conditions on the basis of simulation results.

Keywords

five-phase machine, multi-phase multi-motor drives, vector control, RNN-estimator.

How to Cite this Article?

M. Rizwan Khan and Atif Iqbal (2009). Recurrent Neural Network Based Control of Series-Connected Five-Phase Two Motor Drive System. i-manager’s Journal on Electrical Engineering, 2(3), Jan-Mar 2009, Print ISSN 0973-8835, E-ISSN 2230-7176, pp. 51-59. https://doi.org/10.26634/jee.2.3.259

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