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

Vol.2 No.3

Year: 2009

Issue: Jan-Mar

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

Author Name: M. Rizwan Khan, Atif Iqbal   

Synopsis:   

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.

 

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