Neural-Network-Based Parameter Estimations of Induction Motors Academic Article

abstract

• 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. 2008 IEEE.

authors

• Toliyat, Hamid

published proceedings

• IEEE Transactions on Industrial Electronics

author list (cited authors)

• Wlas, M., Krzeminski, Z., & Toliyat, H. A.

citation count

• 83

complete list of authors

• Wlas, Miroslaw||Krzeminski, Zbigniew||Toliyat, Hamid A

publication date

• April 2008

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE Transactions on Industrial Electronics  Journal

Digital Object Identifier (DOI)

• 10.1109/tie.2008.918615

start page

• 1783

end page

• 1794

volume

• 55

issue

• 4

URL

• http://dx.doi.org/10.1109/tie.2008.918615