Road Quality Information Based Adaptive Semi-active Suspension Control | Zendy

Hakan Başargan | Zendy; András Mihály | Zendy; Péter Gáspár | Zendy; Olivier Sename | Zendy

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Road Quality Information Based Adaptive Semi-active Suspension Control

Author(s) -

Hakan Başargan,

András Mihály,

Péter Gáspár,

Olivier Sename

Publication year - 2021

Publication title -

periodica polytechnica transportation engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.388

H-Index - 15

eISSN - 1587-3811

pISSN - 0303-7800

DOI - 10.3311/pptr.18577

Subject(s) - active suspension , control theory (sociology) , adaptive control , controller (irrigation) , ride quality , computer science , suspension (topology) , control engineering , variable (mathematics) , stability (learning theory) , engineering , control (management) , automotive engineering , artificial intelligence , mathematics , actuator , machine learning , mathematical analysis , homotopy , pure mathematics , agronomy , biology

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.

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