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Induction motor dynamic neural stator flux estimation using active and reactive power for direct torque control

Induction motor dynamic neural stator flux estimation using active and reactive power for direct torque control,10.1109/PESC.1999.789053,J. Ghouili,A.

Induction motor dynamic neural stator flux estimation using active and reactive power for direct torque control   (Citations: 1)
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In this paper, a new dynamic neural network stator flux and electromagnetic torque estimation method of the squirrel cage motor direct torque control is developed. The proposed method is based on an instantaneous active and reactive power and delayed samples of stator currents and voltages of the machine. This approach requires neither resistances nor inductances. The technique is robust and independent of variation in the electromagnetic parameters. Simulation results using Simulink are presented to confirm the theoretical analysis
Published in 1999.
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    • ...Artificial neural networks use a dense interconnection of computing nodes to approximate nonlinear functions [19][20].Each node constitutes a neuron and performs the multiplication of its input signals by constant weights, sums up the results and maps the sum to a nonlinear activation function g; the result is then transferred to its output...
    • ...The latter is implemented by many ANN software packages such as the neural network toolbox from MATLAB [19] [20]...

    R. Toufoutiet al. DIRECT TORQUE CONTROL FOR INDUCTION MOTOR USING INTELLIGENT TECHNIQUES

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