Model Predictive Control for Force Control in Milling

被引:23
作者
Stemmler, S. [1 ]
Abel, D. [1 ]
Schwenzer, M. [2 ]
Adams, O. [2 ]
Klocke, F. [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, D-52056 Aachen, Germany
关键词
Model-based control; Predictive Control; 2-Layer-MPC; Milling; Manufacturing systems; Production systems;
D O I
10.1016/j.ifacol.2017.08.2336
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 one of the most flexible and productive manufacturing processes for machining metals. In the case of rough milling as much material as possible should be removed in as little time as possible. Therefore, a high cutting force is desirable. The maximum force is thus a suitable control variable to reduce the manufacturing time. The cutting force is related to the feed velocity. The relationship can be described by force models. They in turn can be used to determine the maximum feed velocity for a given force. This maximum feed velocity can be used as a reference, which shall not be exceeded. Hence, a Model-based Predictive Controller (MPC) manipulates the desired feed velocity of the machine with respect to the machine behavior. This MPC shows good performance in the case of feed velocity references in time-domain. Though, the feed velocity reference depends on the position of the cutting tool through the workpiece. Hence, an approach shall be described which enables force control in position-domain. Therefore, the existing MPC is extended to a 2-Layer-MPC. An additional MPC works as a reference generator transforming the reference in position-domain into time-domain. Furthermore, an approach is described which allows position dependent feed velocity control without an additional MPC. Finally, the presented approaches are implemented and validated on a real machining center. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码:15871 / 15876
页数:6
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