Road Quality Information Based Adaptive Semi-active Suspension Control

Authors

  • Hakan Basargan
    Affiliation

    Department of Control for Transportation and Vehicle Systems, Faculty of Transportation and Vehicle Engineering, Budapest University of Technology and Economics, H-1111 Budapest, 2 Stoczek street, Hungary

  • András Mihály
    Affiliation

    Systems and Control Laboratory, Institute for Computer Science and Control (SZTAKI), Eötvös Loránd Research Network (ELKH), H-1111 Budapest, 13–17 Kende street, Budapest, Hungary

  • Péter Gáspár
    Affiliation

    Systems and Control Laboratory, Institute for Computer Science and Control (SZTAKI), Eötvös Loránd Research Network (ELKH), H-1111 Budapest, 13–17 Kende street, Budapest, Hungary

  • Olivier Sename
    Affiliation

    GIPSA-lab, INPG, Université Grenoble Alpes, 38402 Grenoble, 11 Rue des Mathématiques, France

https://doi.org/10.3311/PPtr.18577

Abstract

This paper introduces an adaptive semi-active suspension control by considering global positioning system-based and historical road information. The main idea of this study is to find a corresponding trade-off between comfort and stability at different road irregularities. The introduced semi-active controller is designed based on the Linear Parameter-Varying framework. The behavior of the designed controller can be modified by the use of a scheduling variable. This scheduling variable is selected by considering the various road category. TruckSim simulation environment is used in order to validate the introduced adaptive semi-active suspension control system by comparing it with the non-adaptive scenario. The results show that both driving comfort and vehicle stability have been improved with the proposed adaptive semi-active suspension control.

Keywords:

semi-active suspension control, adaptive semi-active suspension control, LPV control, ride comfort, vehicle stability

Published Online

2021-09-01

How to Cite

Basargan, H., Mihály, A., Gáspár, P., Sename, O. (2021) “Road Quality Information Based Adaptive Semi-active Suspension Control”, Periodica Polytechnica Transportation Engineering, 49(3), pp. 210–217. https://doi.org/10.3311/PPtr.18577

Issue

Section

Articles