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Study on Self-Tuning Tyre Friction Control

机译:自调轮胎摩擦控制研究

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This paper focuses on longitudinal self-tuning tyre friction control by regulating desired λ* in different road conditions.The longitudinal friction coefficient is modeled by the Magic Formula and its key parameters under different road surfaces are identified online using the proposed constrained hyhrid genetic algorithm(GA).By means of this,for a specific desired tyre friction,the corresponding control objective of slip ratio can be obtained via a numerical method.A nonsingular and fast terminal sliding mode(NFTSM) control method is then employed to track the desired slip ratio,as Longitudinal Slip ratio Control(LSC).Evidently,the ahove serial algorithms of parameter evaluation,optimization and control adapt to,or self-tune with,the variation of road surfaces.Simulation experiments support this conclusion,in which,the tyre friction was tracked precisely and rapidly and the requirement of self-tuning with road surface variation was satisfied.
机译:本文通过调节不同的道路条件调节所需的λ*来纵向自调整轮胎摩擦控制。纵向摩擦系数由魔法公式模拟,其在不同路面下的关键参数使用该约束的Hyhrid遗传算法在线识别(由此,对于特定所需轮胎摩擦,可以通过数值方法获得滑移比的相应控制目标。然后采用射击和快速终端滑动模式(NFTSM)控制方法来跟踪所需的滑动作为纵向滑动比控制(LSC)的比率,参数评估的AHOVE串行算法,优化和控制适应或自我调谐,或自我调整路面的变化。仿真实验支持这一结论,其中,轮胎精确且迅速跟踪摩擦,满足了具有道路表面变化的自调整的要求。

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