Data-driven feedforward control of inertial dampers for accuracy improvement

被引:0
作者
Bahtiyar, Kaan [1 ]
Sencer, Burak [1 ,2 ]
Beudaert, Xavier [2 ]
机构
[1] Oregon State Univ, Corvallis, OR 97331 USA
[2] IDEKO, Dynam & Control Dept, Elgoibar, Basque Country, Spain
关键词
Vibration; Active damping; Learning; TRACKING;
D O I
10.1016/j.cirp.2024.04.007
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper presents a novel control strategy to minimize residual vibrations and overshoot using inertial dampers in repetitive tasks. In this work, vibration data collected during repeating task is utilized to generate a fully pre-scheduled feedforward compensation signal that assists the inertial damper's original feedback controller to further enhance its vibration mitigation capability. Optimal feedforward signal is determined iteratively over successive operations considering the actuator stroke and force limits. Numerical and experimental results validate the approach demonstrating significant (up to 87%) reduction in peak vibration while using equal or less actuator force as compared to the conventional control. (c) 2024 CIRP. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:317 / 320
页数:4
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