Offline Gain Adjustment with Constraints for Contour Error Reduction in High Speed Milling

Abstract : In machining complex parts with high speed milling, small contour error (CE) and high surface quality are usually two major concerns. Many papers have focused on reducing CE by online contouring adaptation in the presence of disturbances and/or uncertain nonlinearities. Besides, calibration methods on pre-machining process such as smoothing the setpoints with optimized feedrate are also preferred. In contrast, less efforts have been done to analyze the relationship between profile geometry, control tuning or adjustment and effective CE in order to obtain CE as small as possible. To effectively deal with this challenge, an Offline Gain Adjustment (OGA) algorithm is developed in this paper. The simulated comparisons with existing fixed gain controller prove the efficiency of the proposed OGA method.
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Contributor : Sylvain Lavernhe <>
Submitted on : Tuesday, September 13, 2016 - 8:32:45 PM
Last modification on : Thursday, April 5, 2018 - 12:30:05 PM
Long-term archiving on : Wednesday, December 14, 2016 - 2:59:28 PM

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Tan-Quang Duong, Pedro Rodriguez-Ayerbe, Sylvain Lavernhe, Christophe Tournier, Didier Dumur. Offline Gain Adjustment with Constraints for Contour Error Reduction in High Speed Milling. IEEE International Conference on Advanced Intelligent Mechatronics (AIM 2016), Jul 2016, Banff, Canada. ⟨10.1109/aim.2016.7576767 ⟩. ⟨hal-01365977⟩

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