DocumentCode :
1737306
Title :
Constrained model predictive control of an incremental sheet forming process
Author :
Hao, Wang ; Duncan, Stephen
Author_Institution :
Dept. of Eng. Sci., Univ. of Oxford, Oxford, UK
fYear :
2011
Firstpage :
1288
Lastpage :
1293
Abstract :
Model Predictive Control (MPC) has been applied in a range of industrial applications, and part of its popularity is that it can cope with a constrained system, providing an optimal control for a certain performance index. Incremental Sheet Forming (ISF) is an emerging progressive sheet metal forming technology where the deformation occurs locally. It is best suited to customised and one-off or short-run production, because ISF does not require costly individual tools, dies or punches to be manufactured. The geometrical accuracy of the shape made by ISF, is however, lower than the conventional processes, such as stamping. We address this issue by using a constrained model predictive control scheme to optimise the tool trajectory of this process. A simplified linear forming process model is first derived, which is modified then to handle the “tool contact” issue and after that a full MPC formulation is established. Two types of shapes are produced on an experimental rig, and the experimental results show that the final geometrical errors can be reduced compared to a standard contour following approach.
Keywords :
deformation; forming processes; metalworking; metalworking machines; optimal control; performance index; predictive control; sheet materials; sheet metal processing; constrained model predictive control; customised production; deformation; geometrical error reduction; incremental sheet forming process; linear forming process model; one-off production; optimal control; performance index; progressive sheet metal forming technology; short-run production; tool trajectory optimisation; Accuracy; Metals; Optimal control; Predictive control; Predictive models; Shape; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Applications (CCA), 2011 IEEE International Conference on
Conference_Location :
Denver, CO
Print_ISBN :
978-1-4577-1062-9
Electronic_ISBN :
978-1-4577-1061-2
Type :
conf
DOI :
10.1109/CCA.2011.6044466
Filename :
6044466
Link To Document :
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