Position control of DC motor based on recurrent high order neural networks

dc.contributorCastañeda, C.E., Instituto Tecnológico Superior de Lagos de Moreno, Libramiento Tecnológico, No. 5000 Col. Portugalejo de los Romanes, Lagos de Moreno, Jalisco, C.P. 47480, Mexico, Centro Universitario de Los Lagos, Universidad de Guadalajara, Av. Enrique Díaz de León 1144, Lagos de Moreno, Jalisco, C.P. 47460, Mexico; López-Mancilla, D., Instituto Tecnológico Superior de Lagos de Moreno, Libramiento Tecnológico, No. 5000 Col. Portugalejo de los Romanes, Lagos de Moreno, Jalisco, C.P. 47480, Mexico; García, J.H., Instituto Tecnológico Superior de Lagos de Moreno, Libramiento Tecnológico, No. 5000 Col. Portugalejo de los Romanes, Lagos de Moreno, Jalisco, C.P. 47480, Mexico; Reátegui, R.J., Instituto Tecnológico Superior de Lagos de Moreno, Libramiento Tecnológico, No. 5000 Col. Portugalejo de los Romanes, Lagos de Moreno, Jalisco, C.P. 47480, Mexico; Huerta, G., Instituto Tecnológico Superior de Lagos de Moreno, Libramiento Tecnológico, No. 5000 Col. Portugalejo de los Romanes, Lagos de Moreno, Jalisco, C.P. 47480, Mexico; Zárate, R.C., Instituto Tecnológico Superior de Lagos de Moreno, Libramiento Tecnológico, No. 5000 Col. Portugalejo de los Romanes, Lagos de Moreno, Jalisco, C.P. 47480, Mexico
dc.creatorCastaneda, C.E.
dc.creatorLopez-Mancilla, D.
dc.creatorGarcia, J.H.
dc.creatorReategui, R.J.
dc.creatorHuerta, G.
dc.creatorZarate, R.C.
dc.date.accessioned2015-11-19T18:51:54Z
dc.date.accessioned2022-11-02T14:06:23Z
dc.date.available2015-11-19T18:51:54Z
dc.date.available2022-11-02T14:06:23Z
dc.date.created2015-11-19T18:51:54Z
dc.date.issued2010
dc.identifierhttp://hdl.handle.net/20.500.12104/67118
dc.identifier10.1109/ISIC.2010.5612932
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-78649372018&partnerID=40&md5=f26237fe4fc460bc47ff09489c02b182
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4990585
dc.description.abstractAn adaptive discrete-time tracking controller for a direct current (DC) motor with controlled excitation flux is presented. A high order neural network is used to identify the plant model; this network is trained with an extended Kalman filter. Then, the discrete-time block control and sliding mode techniques are used to develop the reference tracking control for the angular position of a DC motor with separate winding excitation. The scheme is illustrated via simulations. © 2010 IEEE.
dc.relationIEEE International Symposium on Intelligent Control - Proceedings
dc.relation1515
dc.relation1520
dc.relationScopus
dc.titlePosition control of DC motor based on recurrent high order neural networks
dc.typeConference Paper


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