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Receding Horizon Based Offline Gain Adjustment for Contour Error Reduction in High Speed Milling
Tan-Quang Duong, Pedro Rodriguez-Ayerbe, Sylvain Lavernhe, Christophe Tournier, Didier Dumur

Receding Horizon Based Offline Gain Adjustment for Contour Error Reduction in High Speed Milling

Science & Mathematics Published 2016 Verification Pending

Overview & Synopsis

This paper presents an Off-line Gain Adjustment (OGA) approach to reduce contour error in 5-axis high speed machining. The proposed contour error formulation is based on the estimation of tool contact points and the OGA is inspired from the idea of Model Predictive Control (MPC). The control gains used in the position loop of servo drives are optimally adjusted off-line to reduce the contour error for the considered trajectory. The obtained gain profiles are computed preserving axis kinematic limitations, stability criterion of servo drives and the motor current constraints. The OGA is developed thanks to a validated machine simulator. The simulation results prove that the OGA reduces significantly the contour error in 5-axis high speed machining. Keywords Contour error · CNC · Off-line gain adjustment · Receding horizon · Model predictive control 1 Introduction

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Document Information

Document Title Receding Horizon Based Offline Gain Adjustment for Contour Error Reduction in High Speed Milling
Author / Organization Tan-Quang Duong, Pedro Rodriguez-Ayerbe, Sylvain Lavernhe, Christophe Tournier, Didier Dumur
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2016
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-169819
Original Source Link Visit Source Page on hal.science »