Neural Networks for controlled Speed Sensorless Direct Field Oriented Induction Motor Drives
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Published
Feb 21, 2008
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Abstract
The aim of this paper is to present a full digital implementation of a sensorless speed direct field oriented controlled induction motor drive. Thanks to its advantages, the neural network is used to simultaneously control and reconstruct the induction motor rotor speed.
Experimental results for a 1kw induction motor are presented and analyzed using a dSpace system with DS1104 controller board based on digital signal processors (DSP). Obtained results demonstrated that the proposed sensorless control scheme is able to obtain high performances.
Experimental results for a 1kw induction motor are presented and analyzed using a dSpace system with DS1104 controller board based on digital signal processors (DSP). Obtained results demonstrated that the proposed sensorless control scheme is able to obtain high performances.