Title
Model-based predictive force control in milling: determination of reference trajectory.
Abstract
Today, powerful process simulation tools allow an offline process planning and optimization of metal cutting processes. The quality of the optimization strongly depends on the model and its parameters. Real cutting processes are influenced by uncertainties such as tool wear status or material properties, which are both unknown. To overcome this limitation, sensors and process control systems are used. Model-based Predictive Control (MPC) was developed in the 1970s for the chemical process industry. This control method was found to be very suitable to control complex manufacturing processes such as milling processes. Using MPC in metal cutting processes allows considering technological boundary conditions explicitly. Adapting the feed velocity and thus the process force increases the productivity and process stability in milling. A core element of the MPC is the use of a reference trajectory representing the time-dependent set point value in the optimization procedure. The tool path information, however, is given position-based. Thus, calculating the reference trajectory is not trivial and strongly influences the control quality. This paper presents two methods for determining the reference trajectory. The first method is based on an adaptive signal filter. For the second method the MPC is extended to a two-layer MPC: the first layer calculates an optimal reference trajectory; the second layer controls the machine tool.
Year
DOI
Venue
2017
10.1007/s11740-017-0721-z
Production Engineering
Keywords
Field
DocType
Model-based predictive control, Reference generation, Milling, Force control, Filter
Boundary value problem,Control theory,Model predictive control,Control engineering,Tool wear,Process simulation,Process control,Engineering,Material properties,Trajectory,Machine tool
Journal
Volume
Issue
ISSN
11
2
1863-7353
Citations 
PageRank 
References 
1
0.40
2
Authors
5
Name
Order
Citations
PageRank
Max Schwenzer111.42
Oliver Adams221.03
Fritz Klocke35126.45
Sebastian Stemmler422.58
Dirk Abel57643.90