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The International Journal of Advanced Manufacturing Technology
Published in: The International Journal of Advanced Manufacturing Technology 3-4/2020

19-12-2019 | ORIGINAL ARTICLE

Integration of optimized feedrate into an online adaptive force controller for robot milling

Authors: Gang Xiong, Zhou-Long Li, Ye Ding, LiMin Zhu

Published in: The International Journal of Advanced Manufacturing Technology | Issue 3-4/2020

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Abstract

Maximum resultant cutting force control provides a great benefit of improving productivity in machining tasks. This paper presents a new force control method for robot milling that can prevent force overshoots during abrupt part geometry changes. Firstly, the feedrates of the robot at critical cutter locations are optimized offline according to the cutting force model and the part geometry. Secondly, an online parameter self-adaptive proportional-integral (PI) controller is designed in consideration of the robot feed-direction dynamics and the time-varying first-order model of the cutting process. Finally, the offline scheduled feedrates are integrated into the online adaptive controller via a feedforward-like strategy. Experiments demonstrate the effectiveness and advantages of the proposed force control method.
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Metadata
Title
Integration of optimized feedrate into an online adaptive force controller for robot milling
Authors
Gang Xiong
Zhou-Long Li
Ye Ding
LiMin Zhu
Publication date
19-12-2019
Publisher
Springer London
Published in
The International Journal of Advanced Manufacturing Technology / Issue 3-4/2020
Print ISSN: 0268-3768
Electronic ISSN: 1433-3015
DOI
https://doi.org/10.1007/s00170-019-04691-1

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