IMC-based control system on a MR damper

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

Research output: Contribution to conferencePaper

Abstract

© 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.
Original languageEnglish
Pages3311-3316
Number of pages6
Publication statusPublished - 26 Mar 2014
Externally publishedYes
Event2009 European Control Conference, ECC 2009 -
Duration: 26 Mar 2014 → …

Conference

Conference2009 European Control Conference, ECC 2009
Period26/3/14 → …

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Control systems
Neural networks
Dynamic models
Controllers

Cite this

Lozoya-Santos, J. D. J., Morales-Menendez, R., & Ramirez-Mendoza, R. A. (2014). IMC-based control system on a MR damper. 3311-3316. Paper presented at 2009 European Control Conference, ECC 2009, .
Lozoya-Santos, Jorge De J. ; Morales-Menendez, Ruben ; Ramirez-Mendoza, Ricardo A. / IMC-based control system on a MR damper. Paper presented at 2009 European Control Conference, ECC 2009, .6 p.
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Lozoya-Santos, JDJ, Morales-Menendez, R & Ramirez-Mendoza, RA 2014, 'IMC-based control system on a MR damper' Paper presented at 2009 European Control Conference, ECC 2009, 26/3/14, pp. 3311-3316.

IMC-based control system on a MR damper. / Lozoya-Santos, Jorge De J.; Morales-Menendez, Ruben; Ramirez-Mendoza, Ricardo A.

2014. 3311-3316 Paper presented at 2009 European Control Conference, ECC 2009, .

Research output: Contribution to conferencePaper

TY - CONF

T1 - IMC-based control system on a MR damper

AU - Lozoya-Santos, Jorge De J.

AU - Morales-Menendez, Ruben

AU - Ramirez-Mendoza, Ricardo A.

PY - 2014/3/26

Y1 - 2014/3/26

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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Lozoya-Santos JDJ, Morales-Menendez R, Ramirez-Mendoza RA. IMC-based control system on a MR damper. 2014. Paper presented at 2009 European Control Conference, ECC 2009, .