Model-based Predictive Force Control in Milling

被引:0
|
作者
Stemmler, Sebastian [1 ]
Ay, Muzaffer [1 ]
Schwenzer, Max [2 ]
Abel, Dirk [1 ]
Bergs, Thomas [2 ]
机构
[1] Rhein Westfal TH Aachen, Inst Automat Control, D-52056 Aachen, Germany
[2] Rhein Westfal TH Aachen, Lab Machine Tools & Prod Engn WZL, D-52056 Aachen, Germany
关键词
ADAPTIVE-CONTROL;
D O I
10.23919/ecc.2019.8795716
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Milling is a manufacturing process for machining metals, where a milling tool cuts metal from a workpiece. Especially during rough milling the productivity is significantly affected by the process force that acts on the tool. The process force depends on the feed velocity and the engagement conditions. The latter are defined by the path that the tool takes through the metal. Consequently, the feed velocity of the cutter is a suitable manipulated variable. A force model describes the relation between the process force, the engagement conditions and the feed velocity. A separate machine model describes the behavior of the machine tool axis and its numerical controller. Based on these two models a model predictive controller (MPC) is examined, which controls the feed velocity with respect to the predicted process force. The model predictive force controller is applied and validated on a machining center. The mentioned approach is the first implementation of a MPC which explicitly controls the active force in milling.
引用
收藏
页码:4313 / 4318
页数:6
相关论文
共 50 条
  • [1] Model-Based Predictive Force Control in Milling - System Identification
    Adams, O.
    Klocke, F.
    Schwenzer, M.
    Stemmler, S.
    Abel, D.
    [J]. 3RD INTERNATIONAL CONFERENCE ON SYSTEM-INTEGRATED INTELLIGENCE: NEW CHALLENGES FOR PRODUCT AND PRODUCTION ENGINEERING, 2016, 26 : 214 - 220
  • [2] Model-based predictive force control in milling: determination of reference trajectory
    Schwenzer M.
    Adams O.
    Klocke F.
    Stemmler S.
    Abel D.
    [J]. Production Engineering, 2017, 11 (2) : 107 - 115
  • [3] Model-based predictive force control in milling increasing productivity by safe process control
    Modellbasierte prädiktive kraftregelung beim fräsen: Steigerung der produktivität durch sichere prozessführung
    [J]. 1600, Carl Hanser Verlag (112):
  • [4] Model Predictive Control for Force Control in Milling
    Stemmler, S.
    Abel, D.
    Schwenzer, M.
    Adams, O.
    Klocke, F.
    [J]. IFAC PAPERSONLINE, 2017, 50 (01): : 15871 - 15876
  • [5] Online Parameter Estimation for Model-Based Force Control in Milling Processes
    Petruck, Henning
    Schlick, Christopher M.
    Stemmler, Sebastian
    Abel, Dirk
    Adams, Oliver
    Klocke, Fritz
    [J]. IFAC PAPERSONLINE, 2016, 49 (12): : 634 - 639
  • [6] Model predictive force control in milling based on an ensemble Kalman filter
    Max Schwenzer
    Sebastian Stemmler
    Muzaffer Ay
    Adrian Karl Rüppel
    Thomas Bergs
    Dirk Abel
    [J]. Journal of Intelligent Manufacturing, 2022, 33 : 1907 - 1919
  • [7] Model predictive force control in milling based on an ensemble Kalman filter
    Schwenzer, Max
    Stemmler, Sebastian
    Ay, Muzaffer
    Rueppel, Adrian Karl
    Bergs, Thomas
    Abel, Dirk
    [J]. JOURNAL OF INTELLIGENT MANUFACTURING, 2022, 33 (07) : 1907 - 1919
  • [8] Revolutionising model-based predictive control
    Ross, R
    [J]. COMPUTING & CONTROL ENGINEERING JOURNAL, 2004, 14 (06): : 26 - 29
  • [9] OBSERVATIONS ON MODEL-BASED PREDICTIVE CONTROL
    RICHALET, J
    [J]. CONTROL ENGINEERING, 1992, 39 (10) : 39 - 41
  • [10] Fuzzy model-based predictive control
    Hadjili, ML
    Wertz, V
    Scorletti, G
    [J]. PROCEEDINGS OF THE 37TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4, 1998, : 2927 - 2929