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Abstract:
The use of
a multi-layer neural network to emulate the traditional switching look
up table method for induction motor direct torque control (DTC)
obtaining optimal switching patterns, is presented. The complete system
simulation of the DTC including induction motor, inverter switch, firing
circuit and control unit is done using the MATLAB/MULINK program. After
choosing the best type of neural network, which represents the switching
lookup table, a suitable neural network configuration is deduced and
then tested. Then the neural network is tested as a part of the DTC in
order to know its stability and reliability. It is shown that the use of
neural netwoks in this application gives advantages over the
conventional DTC.
Key words:
Induction
motor Direct torque control Neural networks toolbox
MATLAB/MULINK Simulation
CLC No: TP183
Received
20000310, received in revised form 20000831
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