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Adaptive Friction Compensation for Bi-Directional Low-Velocity Position Tracking

机译:双向低速位置跟踪的自适应摩擦补偿

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摘要

This paper presents a comparative investigation of friction- compensating control strategies designed to improve low-velocity position tracking performance in the presence of velocity reversals for servomechanisms. The methods considered include adaptive control and estimation-based control. Additionally, the various controller designs incorporate different friction models ranging from classical friction and Stribeck friction to the less popular Dahl friction model. This investigation of friction models is motivated by the fact that there is little consensus in the literature on how best to model friction for dynamic friction compensation. the control strategies are compared in an extensive test program involving sinusoidal position trajectory tracking experiments on a direct-drive dc motor. We focus attention on comparative experimental results of friction compensation especially with repeated velocity reversals. The results show that the adaptive experiments also yield insight into the appropriateness of the different friction models under the tested operating conditions. In particular, the Dahl model, typically ignored in the literature proves to be significant for the firction-compensating control problem with repeated zero- velocity crossings.
机译:本文对摩擦补偿控制策略进行了比较研究,该策略旨在在伺服机构出现速度反转的情况下提高低速位置跟踪性能。考虑的方法包括自适应控制和基于估计的控制。此外,各种控制器设计都结合了不同的摩擦模型,从经典摩擦和Stribeck摩擦到不太流行的Dahl摩擦模型。摩擦模型的研究是基于以下事实:在文献中关于如何为动态摩擦补偿最佳地建模摩擦的共识很少。在涉及直接驱动直流电动机的正弦位置轨迹跟踪实验的广泛测试程序中对控制策略进行了比较。我们将注意力集中在摩擦补偿的比较实验结果上,尤其是在反复进行速度反转时。结果表明,自适应实验还可以深入了解在测试的工作条件下不同摩擦模型的适用性。特别地,在文献中通常被忽略的达尔模型被证明对于具有重复零速度交叉的点火补偿控制问题是重要的。

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