Fuzzy Petri nets to control vision system and robot behaviour under uncertain situations within an FMS cell

Author

Hanna, M. ; Buck, A. ; Smith, R.

Author_Institution

Sch. of Electr., Electron. & Syst. Eng., Univ. of Wales Coll. of Cardiff, UK

fYear

1994

fDate

26-29 Jun 1994

Firstpage

1889

Abstract

The Petri net approach to modelling, monitoring and control of the behaviour of an FMS cell is shown. The FMS cell described comprises a pick and place robot, vision system, computer numerical control (CNC) drilling machine, two conveyors and a bin. The work demonstrates how a Petri net approach can be used to describe events at different levels of abstraction. Next, by utilising fuzzy logic control and Petri nets, a modelling approach using fuzzy rules based on a knowledge-based system illustrates how vision system decisions and robot behaviour within an FMS cell can be determined. This methodology can be used as a graphical modelling tool to monitor imprecise and uncertain situations, and determine the quality of the output products of an FMS cell

Keywords

Petri nets; computerised numerical control; flexible manufacturing systems; fuzzy control; industrial robots; intelligent control; robot vision; CNC drilling machine; FMS cell; computer numerical control; conveyors; fuzzy Petri nets; fuzzy logic control; fuzzy rules; graphical modelling tool; knowledge-based system; pick and place robot; robot behaviour control; uncertain situations; vision system control; vision system decisions; Computer numerical control; Computerized monitoring; Control systems; Flexible manufacturing systems; Fuzzy control; Fuzzy logic; Fuzzy systems; Machine vision; Petri nets; Robot vision systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on

Conference_Location

Orlando, FL

Print_ISBN

0-7803-1896-X

Type

conf

DOI

10.1109/FUZZY.1994.343571

Filename

343571