Publication | Closed Access
Neural-Network-Based Parameter Estimations of Induction Motors
129
Citations
20
References
2008
Year
EngineeringNeural Networks (Machine Learning)Motor DriveRecurrent Neural NetworkSocial SciencesControl SystemsNonlinear System IdentificationParameter IdentificationSystems EngineeringMechatronicsIntelligent ControlComputer EngineeringInduction MotorsNeural Networks (Computational Neuroscience)Computer ScienceSystem IdentificationControl System EngineeringArtificial Neural NetworksNonlinear Control SystemMechanical SystemsProcess ControlInduction-motor Parameters
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> The goal of this paper is to use artificial neural networks (ANNs) for online identification of induction-motor parameters. ANNs such as feedforward and recurrent networks will be used to develop an ANN as a memory for remembering the estimated parameters and for computing the parameters during transients. Simulations and experimental results will be presented for a nonlinear control system of induction motors. A digital signal processor will be used for the experimental investigation. </para>
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