Totis Giovanni, Dombovari Zoltan, Sortino Marco
Polytechnic Department of Engineering and Architecture, University of Udine, 33100 Udine, Italy.
MTA-BME Lendület Machine Tool Vibration Research Group, Department of Applied Mechanics, Budapest University of Technology and Economics, H-1521 Budapest, Hungary.
Sensors (Basel). 2020 Sep 21;20(18):5397. doi: 10.3390/s20185397.
Advanced piezoelectric dynamometers with a wide frequency bandwidth are required for cutting force measurement in high-speed milling and micromilling applications. In many applications, the signal bandwidth is limited by the dynamic response of the mechanical system, thus compensation techniques are necessary. The most effective compensation techniques for a full 3D force correction require an accurate and complex identification phase. Extended Kalman filtering is a better alternative for input force estimation in the presence of unknown dynamic disturbances. The maximum bandwidth that can be currently achievable by Kalman filtering is approximately 2 kHz, due to crosstalk disturbances and complex dynamometer's dynamics. In this work, a novel upgraded Kalman filter based on a more general model of dynamometer dynamics is conceived, by also taking into account the influence of the force application point. By so doing, it was possible to extend the frequency bandwidth of the device up to more than 5 kHz along the main directions and up to more than 3 kHz along the transverse directions, outperforming state-of-the-art methods based on Kalman filtering.
在高速铣削和微铣削应用中进行切削力测量时,需要具有宽频率带宽的先进压电测力计。在许多应用中,信号带宽受机械系统动态响应的限制,因此需要补偿技术。用于全三维力校正的最有效补偿技术需要一个精确且复杂的识别阶段。在存在未知动态干扰的情况下,扩展卡尔曼滤波是输入力估计的更好选择。由于串扰干扰和测力计复杂的动力学特性,目前卡尔曼滤波所能达到的最大带宽约为2kHz。在这项工作中,通过考虑力作用点的影响,构思了一种基于更通用测力计动力学模型的新型升级卡尔曼滤波器。通过这样做,能够将设备的频率带宽沿主方向扩展到超过5kHz,沿横向扩展到超过3kHz,优于基于卡尔曼滤波的现有方法。