Development of sensorless chatter detection method in ball screw drive system applying mode decoupling

Akihiro Sugiyama, Yuki Yamada, Shuntaro Yamato, Y. Kakinuma
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引用次数: 1

Abstract

This paper proposes a sensorless chatter detection method for a ball screw drive system used in milling, by introducing the mechanical energy factor (MEF). The MEF is an indicator for detecting self-excited chatter, based on the power factor theory used in electric systems, and monitors the phase difference between dynamic cutting force and displacement. By monitoring the MEF, the self-excited chatter can be detected in real time with low computational load and a unique threshold, independent of the vibration amplitude. Furthermore, the MEF can be monitored without any additional sensors by applying a sensorless cutting-force estimation technique, based on the disturbance observer theory. In addition, we conducted mode decoupling to the two-inertia model of the ball screw driven stage, and derived its rigid body and vibration modes. Each mode is regarded as a one-inertia model and is independent of the other, and the MEF is monitored in the vibration mode. The validity of the proposed method was evaluated through several milling tests, and the results showed that the self-excited chatter could be detected.
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基于模态解耦的滚珠丝杠传动系统无传感器颤振检测方法的研究
通过引入机械能因子(MEF),提出了一种用于铣削滚珠丝杠传动系统的无传感器颤振检测方法。MEF是一种检测自激颤振的指示器,基于电力系统中的功率因数理论,监测动态切削力与位移之间的相位差。通过监测MEF,可以实时检测自激颤振,计算量低,且具有独立于振动幅值的唯一阈值。此外,通过应用基于扰动观测器理论的无传感器切削力估计技术,MEF可以在没有任何额外传感器的情况下进行监测。此外,对滚珠丝杠从动台的双惯量模型进行了模态解耦,导出了其刚体和振动模态。将各模态视为一个独立的单惯性模型,在振动模态下对MEF进行监测。通过多次铣削试验验证了该方法的有效性,结果表明该方法能够检测到自激颤振。
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