MR-damper based control system

Jorge Lozoya-Santos, Ruben Morales-Menendez, Ricardo Ramirez-Mendoza

Research output: Contribution to conferencePaper

3 Citations (Scopus)


The precise variation of the magneto-rhelogical (MR) damping force in a semi-active suspension is a key issue in order to assure the desired performances over a suspension control system. The open loop control of this force is a very common strategy. Other schemes propose adaptive controller alternatives while the automotive hardware is a constrained computation resource. This paper proposes the implementation of the damping force control system based on the MR damper using an internal model control approach. The controller and the internal model are proposed as artificial neural networks (ANN) trained and validated with realistic automotive datasets. The results shows good servo control and fast regulation to abrupt disturbances without on-line ANN tuning computations.

Original languageEnglish
Number of pages6
Publication statusPublished - 1 Dec 2009
Externally publishedYes
EventConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics -
Duration: 1 Dec 2009 → …


ConferenceConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Period1/12/09 → …

Bibliographical note

Copyright 2010 Elsevier B.V., All rights reserved.

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Human-Computer Interaction


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