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Modeling of dynamic friction, impact backlash and elastic compliance nonlinearities in machine tools, with applications to asymmetric viscous and kinetic friction identification.

机译:机床中的动态摩擦,冲击间隙和弹性柔量非线性建模,应用于不对称粘性和动摩擦识别。

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This work reports on methods for identifying arbitrary combinations of friction, backlash and compliance in mechanical drive mechanisms. Friction, backlash and compliance are each presented in sufficient detail to characterise the nonlinearities affecting machine tools in detailed analytical form. The dynamic coupling between the three nonlinear elements is highlighted as being particularly important to improving the precision and accuracy of machine tools and quality of the workplace product.; A detailed overall analysis is given of dynamic friction, backlash with impact, and multi-modal elastic compliance as they operate interactively in a realistic dynamic environment. It is shown that interaction between these otherwise standard nonlinear elements is a crucial component of successful machine tool controllability. The results are important to the improved mechatronic design of future machine tools as well as the retrofitting of existing tools with better-informed software control. The work has applications to many dynamic systems in general, and especially in the field of robotics. The three basic nonlinearities are examined individually and as components in a complete system. The scheme is first developed analytically, then simulated, and the friction identification methodology is actually tested on two systems mimicking the nonlinearities of a typical machine tool.; Unique contributions include a backlash model with viscoelastic impact properties, and extension of the traditional time-domain identification technique known as the logarithmic decrement method to include estimation of asymmetric kinetic and viscous friction for linear, second-order oscillations with time-invariant system parameters. The method may be applied to any such free vibration response, using only the time history of displacement data. Moreover, a novel technique called parametric harmonic oscillation is introduced, whereby even highly overdamped systems can be made to mimick underdamped free harmonic vibration, allowing one to apply the extended log decrement method to all second-order systems exhibiting asymmetric kinetic and/or viscous friction. The parametric harmonic oscillation method reveals the actual physical mass, and hence the friction and stiffness parameters of a system, in addition to the usual mass-dimensionalised frequency and damping values. The techniques are demonstrated in theory and simulation, and subsequently verified on two real second-order systems with asymmetric friction. Identification techniques for nonlinear (time-varying) friction and (multimodal) stiffness are also explored.
机译:这项工作报告了用于识别机械驱动机构中摩擦,间隙和柔度的任意组合的方法。摩擦,反冲和柔顺性均以足够详细的方式呈现,以详细的分析形式来表征影响机床的非线性。强调了三个非线性元素之间的动态耦合对于提高机床的精度和准确性以及工作场所产品的质量特别重要。当它们在现实的动态环境中交互操作时,将对动摩擦,带冲击的反冲以及多峰弹性柔度进行详细的整体分析。结果表明,这些其他标准非线性元素之间的相互作用是成功实现机床可控制性的关键组成部分。这些结果对于改进未来机床的机电一体化设计以及对具有更好信息的软件控制的现有工具进行改造非常重要。这项工作通常适用于许多动态系统,尤其是在机器人技术领域。分别检查了三个基本非线性,并将其作为一个完整系统中的组件。该方案首先进行分析开发,然后进行仿真,然后在模拟典型机床非线性的两个系统上对摩擦识别方法进行了实际测试。独特的贡献包括具有粘弹性冲击特性的齿隙模型,以及对传统的时域识别技术(即对数递减方法)的扩展,包括对具有时不变系统参数的线性,二阶振动的不对称动力学和粘性摩擦的估计。该方法可以仅使用位移数据的时间历史应用于任何这样的自由振动响应。此外,引入了一种称为参量谐波振荡的新技术,通过该技术,即使是高度过度阻尼的系统也可以模仿未阻尼的自由谐波振动,从而允许将扩展的对数递减方法应用于所有表现出不对称动力学和/或粘滞摩擦的二阶系统。 。除了通常的质量尺寸频率和阻尼值外,参数谐波振荡方法还显示了实际的物理质量,从而揭示了系统的摩擦和刚度参数。该技术在理论和仿真中得到了证明,随后在具有不对称摩擦的两个实际二阶系统上得到了验证。还探讨了非线性(时变)摩擦和(多峰)刚度的识别技术。

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