Title :
Adaptive interval model control and application
Author :
Zhang, Chuan ; Walcott, Bruce L.
Author_Institution :
Dept. of Electr. & Comput. Eng., Kentucky Univ., Lexington, KY, USA
fDate :
June 30 2004-July 2 2004
Abstract :
In many manufacturing processes, an interval model is a useful description of the processes for control. Conditions for the same process can vary widely. Interval models take into account these variations and consequently can have wide applications. However, interval models present problems when their intervals are too wide or not accurate. An adaptive interval model control which alters the interval has been proposed in this paper. Simulations verify its effectiveness. It has been used to successfully control a novel arc welding process.
Keywords :
adaptive control; arc welding; autoregressive moving average processes; process control; adaptive interval model control algorithm; manufacturing processes; plasma arc welding process; process control;
Conference_Titel :
American Control Conference, 2004. Proceedings of the 2004
Conference_Location :
Boston, MA, USA
Print_ISBN :
0-7803-8335-4