Using artificial neural networks in the induction motor DTC scheme

P Ponce,D.M Aguilar,A Monroy

doi:10.1109/pesc.2004.1355063

Using artificial neural networks in the induction motor DTC scheme

P Ponce, D.M Aguilar + Show 1 more

https://doi.org/10.1109/pesc.2004.1355063

Copy DOI

Publication Date: Jun 20, 2004

Citations: 5

Affiliation: Tecnológico de Monterrey

#Direct Torque Control Scheme #Direct Torque Control + Show 8 more

Abstract
Full-Text
Similar Papers

Abstract

The purpose of this paper is to show the potential use of artificial neural networks (ANNs) in the induction motor direct torque control (DTC) scheme. The speed estimators using ANNs are contrasted with the speed adaptive flux observer (Luenberger observer). The paper proposes a complete DTC scheme using two different ANNs to estimate the rotor speed, one of them is a classical feedforward neural network (FFNN) and the other one is a FFNN chosen by genetic algorithms. The performance of the proposed scheme is carried out by simulation tests using MATLAB/SIMULINK.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Similar Papers

Paper Title

Journal

Date

Author

View more papers

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.