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Proceedings Paper

Fuzzy Petri nets to model vision system decisions within a flexible manufacturing system
Author(s): Moheb Maurice Hanna; A. A. Buck; R. Smith
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Paper Abstract

The paper presents a Petri net approach to modelling, monitoring and control of the behavior of an FMS cell. The FMS cell described comprises a pick and place robot, vision system, CNC-milling machine and 3 conveyors. The work illustrates how the block diagrams in a hierarchical structure can be used to describe events at different levels of abstraction. It focuses on Fuzzy Petri nets (Fuzzy logic with Petri nets) including an artificial neural network (Fuzzy Neural Petri nets) to model and control vision system decisions and robot sequences within an FMS cell. This methodology can be used as a graphical modelling tool to monitor and control the imprecise, vague and uncertain situations, and determine the quality of the output product of an FMS cell.

Paper Details

Date Published: 3 October 1994
PDF: 9 pages
Proc. SPIE 2347, Machine Vision Applications, Architectures, and Systems Integration III, (3 October 1994); doi: 10.1117/12.188729
Show Author Affiliations
Moheb Maurice Hanna, Univ. of Wales College Cardiff (United Kingdom)
A. A. Buck, Univ. of Wales College Cardiff (United Kingdom)
R. Smith, Univ. of Wales College Cardiff (United Kingdom)


Published in SPIE Proceedings Vol. 2347:
Machine Vision Applications, Architectures, and Systems Integration III
Bruce G. Batchelor; Susan Snell Solomon; Frederick M. Waltz, Editor(s)

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