Title :
Disturbance Detection, Recover and Prediction in Holonic Manufacturing Control
Author :
Leitão, Paulo ; Barbosa, José
Author_Institution :
Polytech. Inst. of Braganca
Abstract :
Disturbance handling is a crucial issue in the development of intelligent and reconfigurable manufacturing control systems, supporting the fast and promptly response to the occurrence of unexpected disturbances. In holonic manufacturing control systems, the disturbance handling functions are distributed by the several autonomous control units. In this paper, a predictive disturbance handling approach is presented, transforming the traditional "fail and recover" practices into "predict and prevent" practices, allowing improving the control system performance
Keywords :
industrial control; manufacturing systems; autonomous control units; disturbance detection; disturbance handling; holonic manufacturing control; reconfigurable manufacturing control systems; Batch production systems; Collaboration; Control systems; Costs; Globalization; Intelligent manufacturing systems; Job shop scheduling; Manufacturing systems; Pulp manufacturing; System performance;
Conference_Titel :
Distributed Intelligent Systems: Collective Intelligence and Its Applications, 2006. DIS 2006. IEEE Workshop on
Conference_Location :
Prague
Print_ISBN :
0-7695-2589-X
DOI :
10.1109/DIS.2006.27
