DocumentCode :
896640
Title :
Extending error recovery capability in manufacturing by machine reasoning
Author :
DeCesare, F. ; Goldbogen, Geoffrey ; Feicht, Douglas ; Lee, Doo Yong
Author_Institution :
Dept. of Electr., Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA
Volume :
23
Issue :
1
fYear :
1993
Firstpage :
221
Lastpage :
228
Abstract :
In industrial applications, the quantity of error recovery codes far exceeds that required for supervisory control. Declarative programming techniques can be integrated with the traditional procedural control to reduce the efforts in developing error recovery codes and to provide flexibility for future modifications as new error types are encountered. A flexible control system that employs reasoning for both control and error recovery should distribute its functions among hierarchical levels. A symbolic level for task level control and error recovery reasoning is composed of a system model, an assembly plan and a reasoning system. A device level includes all the devices and modular control programs. A robotic assembly of a gear plate is presented as an example application of the intelligent error recovery system. The results from two implemented versions of the example application show that incremental revisions to such a system can be made easily and cost effectively, but the system requires a relatively large initial declarative programming investment
Keywords :
assembling; error correction codes; flexible manufacturing systems; industrial robots; inference mechanisms; assembly plan; declarative programming; error recovery capability; error recovery codes; flexible control system; industrial applications; machine reasoning; robotic assembly; symbolic level; system model; task level control; Assembly systems; Control systems; Error correction; Error correction codes; Gears; Industrial control; Level control; Manufacturing industries; Robotic assembly; Supervisory control;
fLanguage :
English
Journal_Title :
Systems, Man and Cybernetics, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9472
Type :
jour
DOI :
10.1109/21.214780
Filename :
214780
Link To Document :
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