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Petri Net Based Modeling and Control Strategies for Flexible Manufacturing Systems

[+] Author Affiliations
A. Abhishek, Manish Kumar, Devendra P. Garg

Duke University

Paper No. IMECE2006-14678, pp. 193-201; 9 pages
doi:10.1115/IMECE2006-14678
From:
  • ASME 2006 International Mechanical Engineering Congress and Exposition
  • Manufacturing Engineering and Textile Engineering
  • Chicago, Illinois, USA, November 5 – 10, 2006
  • Conference Sponsors: Manufacturing Engineering Division and Textile Engineering Division
  • ISBN: 0-7918-4774-8 | eISBN: 0-7918-3790-4
  • Copyright © 2006 by ASME

abstract

This paper presents comprehensive and unified strategies to model, analyze, and control flexible manufacturing systems (FMSs) in an uncertain and dynamic environment using Petri Net (PN) based modeling. The proposed methodology enables PN models to accept and assimilate online data at execution time. A measurement system consisting of distributed sensory sources suitable for manufacturing processes is designed and an interface is developed of that system with the modeling software (SHARPE) and MATLAB's Simulink to enable realtime data acquisition and processing. The proposed strategies enable online parameter estimation to impart adaptive and intelligent learning capabilities to PN models.

Copyright © 2006 by ASME

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