Adaptive Speed Observer using Artificial Neural Network for Sensorless Vector Control of Induction Motor Drive
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چکیده
منابع مشابه
Adaptive Speed Observer using Artificial Neural Network for Sensorless Vector Control of Induction Motor Drive
This paper presents an adaptive speed observer for an induction motor using an artificial neural network with a direct field-oriented control drive. The speed and rotor flux are estimated with the only assumption that from stator voltages and currents are measurable. The estimation algorithm uses a state observer combined with an intelligent adaptive mechanism based on a recurrent neural networ...
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The induction motor drive is a dynamic nonlinear system with uncertainty in the machine parameters. The aim of this study is to improve tracking performance of the induction motor drive. A method for controlling induction motor drive is presented with conventional Proportional-Integral (PI) controller and Artificial Neural Networks (ANNs) controller. MATLAB/SIMULINK software is used to develop ...
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Induction motors are the workhorses of industries. Indirect vector control scheme has been preferred due to its superior dynamic performance. Since the conventional PI controller has bounded operating limits and poor transient response, a search for an alternative controller arises. Recently, Artificial Neural Network (ANN) is gaining momentum as a controller for non linear systems. Herein an a...
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ژورنال
عنوان ژورنال: Automatika
سال: 2012
ISSN: 0005-1144,1848-3380
DOI: 10.7305/automatika.53-3.68