Analysis of on/off controllers of a semi-active suspension in a CAN

A.A.O. Espinoza, A.M.C. Ortega, J.C. Tudon-Martinez, D. Hernández-Alcantara, R. Morales-Menendez

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)


A performance analysis of automotive semi-active suspension control algorithms was realized. Three on/off control strategies were tested in a quarter of vehicle model: hybrid Sky Hook-Ground Hook, hybrid Mix-1-Sensor and Frequency Estimation-Based controller. A commercial Magneto-Rheological damper was modeled by using an Artificial Neural Network approach. The automotive semi-active suspension was implemented in a commercial Controller Area Network system; and the control algorithms were implemented in a micro-controller system with comfort and road holding as main goals. Early results show the feasibility of this application.

Original languageEnglish
Title of host publication19th IFAC World Congress IFAC 2014, Proceedings
EditorsEdward Boje, Xiaohua Xia
Number of pages6
ISBN (Electronic)9783902823625
Publication statusPublished - 2014

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
ISSN (Print)1474-6670

Bibliographical note

Funding Information:
⋆ This work was supported by CONACyT (Bilateral project México-Spain 142183) and Tecnológico de Monterrey (Autotronics Research Chair). Authors thank METALSA for sharing its experimental setup

Publisher Copyright:

Copyright 2020 Elsevier B.V., All rights reserved.

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering


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