A collaborative fuzzy CPN system for conflict solution of flexible manufacturing system
Felipe Bezerra dos Reis, Vinícius F. Caridá, Orides Morandin, Renan L. Castro, Carlos C. M. Tuma
- Year
- 2013
- Citations
- 2
Abstract
The flexible manufacturing systems (FMS) is composed of machines, robots and automated transportation systems. Make the control of an FMS is a complex task due to the many subsystems and elements that compose it. Due to the large number of variables to be analyzed, the modeling and control of these systems become complex tasks, difficult to maintain and adapt to different layouts. The purpose of this paper is to indicate a strategy for modeling FMS based on Petri nets (PN) allowing the control to be performed by an external system. Thereby the modeling is easy to understand, requires low efforts to adapt to different production plans, and allows control of the FMS model take into consideration information current state of the system in decision-making for conflict resolution. To support control system is built multi criteria fuzzy rules. CPN Tools will be used for modeling, simulating and Matlab will be used for creating the fuzzy system.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991