使用基于摩擦模型的前馈和基于逆模型的扰动观测器进行象限故障补偿

Z. Jamaludin, H. Van Brussel, J. Swevers
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引用次数: 67

摘要

对机床来说,精确的跟踪是必不可少的。摩擦力和切削力都会导致定位和跟踪误差。本文只考虑摩擦力引起的轮廓跟踪误差。运动反转时摩擦的复杂非线性行为导致一种独特的跟踪误差,称为象限故障。为了使圆形跟踪试验中可见的表面轮廓误差最小化,需要对象限毛刺进行补偿。本文分析、仿真并实验验证了机床直线驱动上三种不同的摩擦补偿策略:(i)基于文献中提出的两种摩擦模型的前馈,(ii)基于逆模型的干扰观测器,(iii)摩擦模型前馈与干扰观测器的结合。考虑的摩擦模型是一个简单的静摩擦模型和最近发展的广义麦克斯韦滑动摩擦模型。基于广义麦克斯韦滑动摩擦模型的前馈与扰动观测器的结合产生最小的跟踪误差和小故障。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quadrant glitch compensation using friction model-based feedforward and an inverse-model-based disturbance observer
Accurate tracking is essential for machine tools. Both friction forces and cutting forces contribute to positioning and tracking errors. This paper considers contour tracking errors caused by friction forces only. The complex non-linear behaviour of friction at motion reversal causes a unique tracking error known as quadrant glitch. Compensation of quadrant glitches is desired to minimize surface contour error that is visible in circular tracking test. This paper analyzed, simulated and experimentally validated three different friction compensation strategies on a machine tool linear drive: (i) feedforward based on two friction models proposed in the literature, (ii) an inverse- model-based disturbance observer, and (iii) the combination of friction model feedforward and disturbance observer. The considered friction models are a simple static friction model and the recently developed Generalized Maxwell-slip friction model. The combination of feedforward based on the Generalized Maxwell-slip friction model and the disturbance observer yield the smallest tracking error and glitches.
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