IMC-based control system on a MR damper

Jorge De J. Lozoya-Santos; Ruben Morales-Menendez; Ricardo A. Ramirez-Mendoza

IMC-based control system on a MR damper

Jorge De J. Lozoya-Santos, Ruben Morales-Menendez, Ricardo A. Ramirez-Mendoza

Resultado de la investigación

Resumen

© 2009 EUCA. A control system of a Magneto-Rheological (MR) damper force based on the Internal Model Control (IMC) strategy is proposed. Dynamic models of the MR damper were built exploiting Artificial Neural Networks (ANN). The control system was implemented with a controller based on an inverse ANN model of the MR damper and a forward model as internal nominal model. The feasibility of the control system was compared versus a direct-inverse control scheme. Simulated results demonstrated a practical and feasible solution.

Idioma original	English
Páginas	3311-3316
Número de páginas	6
Estado	Published - 26 mar 2014
Publicado de forma externa	Sí
Evento	2009 European Control Conference, ECC 2009 - Duración: 26 mar 2014 → …

Conference

Conference	2009 European Control Conference, ECC 2009
Período	26/3/14 → …

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https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84955182867&origin=inward

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Citar esto

Lozoya-Santos, J. D. J., Morales-Menendez, R., & Ramirez-Mendoza, R. A. (2014). IMC-based control system on a MR damper. 3311-3316. Papel presentado en 2009 European Control Conference, ECC 2009, . https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84955182867&origin=inward

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AU - Lozoya-Santos, Jorge De J.

AU - Morales-Menendez, Ruben

AU - Ramirez-Mendoza, Ricardo A.

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N2 - © 2009 EUCA. A control system of a Magneto-Rheological (MR) damper force based on the Internal Model Control (IMC) strategy is proposed. Dynamic models of the MR damper were built exploiting Artificial Neural Networks (ANN). The control system was implemented with a controller based on an inverse ANN model of the MR damper and a forward model as internal nominal model. The feasibility of the control system was compared versus a direct-inverse control scheme. Simulated results demonstrated a practical and feasible solution.

AB - © 2009 EUCA. A control system of a Magneto-Rheological (MR) damper force based on the Internal Model Control (IMC) strategy is proposed. Dynamic models of the MR damper were built exploiting Artificial Neural Networks (ANN). The control system was implemented with a controller based on an inverse ANN model of the MR damper and a forward model as internal nominal model. The feasibility of the control system was compared versus a direct-inverse control scheme. Simulated results demonstrated a practical and feasible solution.

M3 - Paper

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EP - 3316

T2 - 2009 European Control Conference, ECC 2009

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