Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12104/44087
Title: Real-time discrete neural control applied to a Linear Induction Motor
Author: Alanis, A.Y.
Rios, J.D.
Rivera, J.
Arana-Daniel, N.
Lopez-Franco, C.
Issue Date: 2015
Abstract: This work presents a real-time discrete nonlinear neural identifier based on a Recurrent High Order Neural Network (RHONN) trained online with an Extended Kalman Filter (EKF) based algorithm applied to a Linear Induction Motor (LIM). For the obtained neural model, a discrete-time sliding mode control law is designed for trajectory tracking of velocity and flux magnitude. The stability analysis is also included, based on the Lyapunov approach. This work is implemented in real-time by using MATLAB�,. 1 1MATLAB is a registered trademark of The MathWorks, Inc. a dSPACE� 2 2dSPACE is a registered trademark of DSPACE GmbH. DS1104 controller board and its software RTI libraries and ControlDesk�,. 3 3ControlDesk is a registered trademark of DSPACE GmbH. respectively, to control a Linear Induction Motor Lab-Volt� 4 4LAB-Volt is a registered trademark of Lab-Volt Systems, Inc. 8228. � 2015 Elsevier B.V.
URI: http://www.scopus.com/inward/record.url?eid=2-s2.0-84925308376&partnerID=40&md5=f19a49fccfd0ddaef5c9f8f5735ecec9
http://hdl.handle.net/20.500.12104/44087
Appears in Collections:Producción científica UdeG

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