The contour error of machining processes is defined as the difference between the desired and actual produced shape. Two major factors contributing to contour error are axis position error and tool deflection. A large amount of research work formulates the contour error in convenient locally defined task coordinate frames that are subject to significant approximation error. The more accurate global task coordinate frame (GTCF) can be used, but transforming the control problem to the GTCF leads to a highly nonlinear control problem. An adaptive robust control (ARC) approach is designed to control machine position in the GTCF, while directly accounting for tool deflection, to minimize the contour error. The combined GTCF/ARC approach is experimentally validated by applying the control to circular contours on a three axis milling machine. The results show that the proposed approach reduces contour error in all cases tested.
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ASME 2013 International Manufacturing Science and Engineering Conference collocated with the 41st North American Manufacturing Research Conference
June 10–14, 2013
Madison, Wisconsin, USA
Conference Sponsors:
- Manufacturing Engineering Division
ISBN:
978-0-7918-5546-1
PROCEEDINGS PAPER
Adaptive Robust Control of Circular Machining Contour Error Using Global Task Coordinate Frame
Tyler A. Davis,
Tyler A. Davis
Purdue University, West Lafayette, IL
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Yung C. Shin,
Yung C. Shin
Purdue University, West Lafayette, IL
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Bin Yao
Bin Yao
Purdue University, West Lafayette, IL
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Tyler A. Davis
Purdue University, West Lafayette, IL
Yung C. Shin
Purdue University, West Lafayette, IL
Bin Yao
Purdue University, West Lafayette, IL
Paper No:
MSEC2013-1108, V002T02A025; 10 pages
Published Online:
November 27, 2013
Citation
Davis, TA, Shin, YC, & Yao, B. "Adaptive Robust Control of Circular Machining Contour Error Using Global Task Coordinate Frame." Proceedings of the ASME 2013 International Manufacturing Science and Engineering Conference collocated with the 41st North American Manufacturing Research Conference. Volume 2: Systems; Micro and Nano Technologies; Sustainable Manufacturing. Madison, Wisconsin, USA. June 10–14, 2013. V002T02A025. ASME. https://doi.org/10.1115/MSEC2013-1108
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