DocumentCode :
3101686
Title :
Supervision of adaptive fuzzy controllers for manufacturing systems
Author :
Tamani, Karim ; Habchi, Georges ; Boukezzoula, Reda
Author_Institution :
LISTIC-ESIA, Domaine Univ., Annecy
fYear :
2006
fDate :
Nov. 28 2006-Dec. 1 2006
Firstpage :
268
Lastpage :
268
Abstract :
The control of manufacturing systems is a problem due to its complexity and conflicting goals within the different production objective. In this article, in order to cope with some of these difficulties, we introduce a two-level fuzzy logic-based control structure, allowing the division of the complex control problem into elementary production modules. The proposed approach is characterized by two hierarchical levels. On the lower level of the hierarchy, each production module is designed as an adaptive fuzzy controller which acts independently from the others to regulate the flow of the material into a system, and on the upper level, a supervisor adjusts the parameters of the sub-controllers in order to improve the overall performance and restrict the system to the admissible domain. This leads to hierarchical and distributed control structure.
Keywords :
adaptive control; control system synthesis; distributed control; fuzzy control; manufacturing systems; adaptive fuzzy controller supervision; distributed control structure; elementary production module design; manufacturing system control; two-level fuzzy logic-based control structure; Adaptive control; Control systems; Distributed control; Flow production systems; Fuzzy control; Fuzzy logic; Fuzzy systems; Manufacturing systems; Production systems; Programmable control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Modelling, Control and Automation, 2006 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7695-2731-0
Type :
conf
DOI :
10.1109/CIMCA.2006.205
Filename :
4052873
Link To Document :
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