Title :
The Research of Feedback-Feedforward Iterative Learning Control in Hydrodynamic Deep Drawing Process
Author_Institution :
Wuxi Traffic Branch Autom. Eng. Dept., Jiangsu United Vocational Inst., Wuxi, China
Abstract :
This paper firstly introduces the characteristics of hydrodynamic deep drawing (HDD), which is an important sheet metal forming technology, then points out the necessity of the chamber pressure control. Secondly considering the characteristics of the drawing action is repeated, iterative learning control (ILC) is the proper algorithm. Then introduces the concept of iterative learning control and feedback - feed forward iterative learning control to solve the delay and improve system robustness. Finally, the computer iterative learning control algorithm implementation process is given and the effectiveness of the algorithm is verified by simulation.
Keywords :
"Iterative learning control","Feedforward neural networks","Hydrodynamics","Process control","Trajectory","Robustness","Algorithm design and analysis"
Conference_Titel :
Distributed Computing and Applications for Business Engineering and Science (DCABES), 2015 14th International Symposium on
DOI :
10.1109/DCABES.2015.112