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Traction control oriented torque-to-slip identification for powered two-wheelers

机译:牵引控制为动力两轮车的扭矩滑动识别

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In this paper a torque-to-slip model, oriented to the development of a traction control system based on wheel slip control for powered two-wheelers, is identified. A black-box identification approach is employed to find model parameters, using I/O experimentally measured data. Different tests are employed to analyse different features of the inquired dynamics. In particular, a PRBS based identification unearths an average model; step responses are employed to study the effect of the vehicle lean angle and narrow band sine sweeps better quantify the features of an underdamped mode. The resulting model is thus a family of linear models with lean angle and velocity as scheduling parameters. The identified model is proven accurate and suitable for control system design, thanks to a closed-loop experimental validation.
机译:在本文中,识别了基于车轮滑动控制的牵引控制系统的扭矩滑动模型被识别出用于动力两轮车的牵引控制系统。使用黑匣子识别方法使用I / O实验测量数据来查找模型参数。采用不同的测试来分析查询动态的不同特征。特别是,基于PRB的识别无法解除平均模型;采用步进响应来研究车辆贫角,窄带正弦扫描的效果更好地量化了欠扫描模式的特征。因此,所得到的模型是一种线性模型,具有贫角和速度作为调度参数。由于闭环实验验证,证明了所识别的模型准确,适用于控制系统设计。

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