A cross-coupled iterative learning control design for biaxial systems based on natural local approximation of contour error

The contour error is the core index to measure the machining quality, so how to get an accurate contour error value and reduce contour error is still an urgent problem in the production process, especially in high-speed and large-curvature contouring tasks. In this paper, a cross-coupled iterative l...

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Bibliographic Details
Published in2017 36th Chinese Control Conference (CCC) pp. 4966 - 4971
Main Authors Shihua Liu, Yanjie Li
Format Conference Proceeding
LanguageEnglish
Published Technical Committee on Control Theory, CAA 01.07.2017
Subjects
Cross-Coupled Control
Error analysis
Estimation
Iterative learning control
Machining
Mathematical model
Natural Local Approximation
Process control
Trajectory
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Summary:The contour error is the core index to measure the machining quality, so how to get an accurate contour error value and reduce contour error is still an urgent problem in the production process, especially in high-speed and large-curvature contouring tasks. In this paper, a cross-coupled iterative learning control (CCILC) based on natural local approximation of contour error is proposed to reduce the contour error in the repetitive machining process. Simulations and experiments on XY-table demonstrate that the contour error can be reduced effectively by using the proposed method.
ISSN:2161-2927
DOI:10.23919/ChiCC.2017.8028139