MR-damper based control system

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

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

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. ©2009 IEEE.
Original languageEnglish
Pages5168-5173
Number of pages6
DOIs
Publication statusPublished - 1 Dec 2009
Externally publishedYes
EventConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics -
Duration: 1 Dec 2009 → …

Conference

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

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  • Cite this

    Lozoya-Santos, J., Morales-Menendez, R., & Ramirez-Mendoza, R. (2009). MR-damper based control system. 5168-5173. Paper presented at Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, . https://doi.org/10.1109/ICSMC.2009.5346003