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AN IMPROVED DYNAMIC FRICTION MODEL USING A DATA-BASED APPROACH

机译:一种利用基于数据的方法改进的动态摩擦模型

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A significant challenge associated with the development of precision motion control systems is the identification and modeling of friction. In particular, dynamic (presliding) friction is often difficult to accurately model in both the time domain and frequency domain simultaneously. We present a data-based modification to an existing friction model, known as the Dahl Dynamic Hysteresis Model (DHM), which incorporates an empirical friction slope function to provide a more accurate representation of arbitrarily shaped hysteresis curves. This data-based approach avoids the added complexity of identifying or fitting model parameters, and can be implemented with a simple look up table. Simulation results are validated with measured friction data collected from an experimental testbed. We show that the data-based approach significantly improves the friction model accuracy in both the time and frequency domains.
机译:与精密运动控制系统的发展相关的重大挑战是摩擦的识别和建模。特别地,动态(预设)摩擦通常难以同时在时域和频域中精确模型。我们向现有的摩擦模型提出了基于数据的修改,称为DAHL动态滞后模型(DHM),其包括经验摩擦斜率函数,以提供关于任意形状的滞后曲线的更准确表示。这种基于数据的方法避免了识别或拟合模型参数的额外复杂性,并且可以用简单的查找表来实现。仿真结果验证了从实验试验台收集的测量摩擦数据。我们表明基于数据的方法在时间和频率域中显着提高了摩擦模型精度。

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