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On Steady-State Cornering Analysis for Motorcycles

Abstract : In this paper, a neutral-path departure algorithm is proposed to define safe handling threshold conditions and dangerous steering situation for powered two-wheeled vehicles. Based on this study, a Self Steering Gradient for motorcycles is proposed as a risk function for neutral-path departure detection. Furthermore, the motorcycle overturning or under-steering are analyzed based on the handling index. This index depends on the intrinsic motorcycle parameters, as well as, the state outputs. The proposed neutral-path departure algorithm aims to assess the risk when the motorcycle begins to drift out of the neutral path. Finally, the effectiveness of the detection scheme is tested using a high-fidelity software BikeSim © .
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Submitted on : Thursday, July 4, 2019 - 2:38:11 PM
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Majda Fouka, Lamri Nehaoua, Hichem Arioui, Saïd Mammar. On Steady-State Cornering Analysis for Motorcycles. IEEE Intelligent Transportation Systems Conference (ITSC 2019), Oct 2019, Aukland, New Zealand. pp.3782--3787, ⟨10.1109/ITSC.2019.8916883⟩. ⟨hal-02173422⟩



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