In this paper, we present a new method for the calculation of the maximum roll angle of a motorcycle authorized during driving in curve situation. The proposed approach takes into account the three elements of the driving situation which are the vehicle the driver and the infrastructure. The vehicle dynamics are represented by a dynamic four degrees of freedom model which include longitudinal and lateral dynamics of the motorcycle. The driver behaviour considers his ability in deceleration taking into account his mobilized friction while the infrastructure characteristics introduce a precise definition of the road geometry and the maximal available friction.
Abstract-In this paper, we present a new method for the computation of the maximal authorized motorcycle speed in curves. The three main factors which are the vehicle, the driver and the infrastructure are taken into account.The vehicle dynamics are represented by a four degrees of freedom model which includes the vehicle's longitudinal slip and sideslip angle. The driver behavior model considers the ability in deceleration maneuvers according to the mobilized friction. The infrastructure characteristics introduce a precise handling of the road geometry and of the maximal available friction.
Abstract-Extensive researches have shown that most of road accidents occur as a result of driver errors. A close examination of accident data reveals that losing the vehicle control is responsible for a huge proportion of car accidents. This observation is even more valid on motorcycle, recall that, last decade about 1600 french people are killed each year [7]. Preventing such kind of accidents using vehicle control systems, requires certain input data concerning vehicle dynamic parameters and vehicle road interaction. Unfortunately, some parameters like tire-road forces and lateral speed, which have a major impact on vehicle dynamics, are difficult to measure. Therefore, this data must be estimated. Due to the system nonlinearities and unmodeled dynamics, an observer based on sliding technique is proposed in this paper. The estimation process method use the motorcycle dynamic response's and standard sensors cheap and easily-available. Observer performances are tested and compared to the motorcycle model responses in different simulation conditions, various initial conditions and measurement noise. The effectiveness of the present approach is make out through the simulation results and show its practical potential as a low-cost solution for calculating lateral-tire forces and motorcycle lateral speed in a accuarate way.
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