Time Disturbances and Filtering of Sensors Signals in Tolerant Multi-product Job-shops with Time Constraints

  • Nabil Jerbi Ecole Centrale de Lille Laboratoire d’Automatique, Génie Informatique et Signal Cité Scientifique, BP 48, 59651 Villeneuve d’Ascq, France
  • Simon Collart Dutilleul Ecole Centrale de Lille Laboratoire d’Automatique, Génie Informatique et Signal Cité Scientifique, BP 48, 59651 Villeneuve d’Ascq, France
  • Etienne Craye Ecole Centrale de Lille Laboratoire d’Automatique, Génie Informatique et Signal Cité Scientifique, BP 48, 59651 Villeneuve d’Ascq, France
  • Mohamed Benrejeb Ecole Nationale d’Ingénieurs de Tunis Unité de recherche LARA-Automatique BP 37, Le Belvédère, 1002 Tunis, Tunisie

Abstract

This paper deals with supervision in critical time manufacturing jobshops without assembling tasks. Such systems have a robustness property to deal with time disturbances. A filtering mechanism of sensors signals integrating the robustness values is proposed. It provides the avoidance of control freezing if the time disturbance is in the robustness intervals. This constitutes an enhancement of the filtering mechanism since it makes it possible to continue the production in a degraded mode providing the guarantees of quality and safety. When a symptom of abnormal functioning is claimed by the filtering mechanism, it is imperative to localize the time disturbance occurrence. Based upon controlled P-time Petri nets as a modeling tool, a series of lemmas are quoted in order to build a theory dealing with the localization problem.

References

[1] S. Calvez, P. Aygalinc, and P. Bonhomme, Proactive/Reactive Approach for Maintenance Tasks in Time Critical Systems, IEEE International Conference on Emerging Technologies and Factory Automation (ETFA'2005), Catane, Vol. 1, pp. 947-953, September 2005.

[2] S. Collart Dutilleul, and E. Craye, Performance and tolerance evaluation, SAFEPROCESS'03, IFAC Symp. on Fault Detection, Supervision and Safety for Technical Processes, Washington, June 2003.

[3] A. Boufaied, A. Subias, and M. Combacau, Chronicle modeling by Petri nets for distributed detection of process failures, IEEE Conference on Systems, Man, and Cybernetics (SMC'02), Hammamet, October 2002.
http://dx.doi.org/10.1109/ICSMC.2002.1173288

[4] P. Declerck, and M. K. Didi Alaoui, Modelling and analysis of P-time event graphs in the (min, max,+) algebra, IEEE Conference on Systems, Man, and Cybernetics (SMC'04), The Hague, Vol. 2, pp. 1807-1812, October 2004.
http://dx.doi.org/10.1109/icsmc.2004.1399913

[5] N. Jerbi, S. Collart Dutilleul, E. Craye, and M. Benrejeb, Observability of Tolerant Multi-product Job-shops in Repetitive Functioning Mode, IMACS'05, Paris, July 2005.

[6] A. E. K. Sahraoui, Contribution à la surveillance et à la commande d'ateliers, Ph.D. Thesis, Université Paul Sabatier, Toulouse, 1987.

[7] A. Toguyeni, E. Craye, and J. C. Gentina, A method of temporal analysis to perform on-line diagnosis in the context of Flexible Manufacturing System, IECON'90, Vol. 1, pp. 445-450, Pacific Grove- California, November 1990.

[8] M. Nourelfath, Extension de la théorie de la supervision à la commande des systèmes à événements discrets: application à la sécurité opérationnelle des systèmes de production, Ph.D. Thesis, INSA de Lyon, France, July 1997.

[9] A. Toguyeni, Surveillance et diagnostic en ligne dans les ateliers flexibles de l'industrie manufacturière, Ph.D. Thesis, Université des Sciences et Technologies de Lille, November 1992.

[10] M. Diaz, Les réseaux de Petri - Modèles fondamentaux, Ed. Hermès, Paris, 2001.

[11] N. Jerbi, S. Collart Dutilleul, E. Craye, and M. Benrejeb, Intégrat0on de la robustesse dans la supervision de systèmes manufacturiers à contraintes de temps, Conférence Internationale Francophone d'Automatique (CIFA'06), Bordeaux, May 2006.

[12] W. Khansa, P. Aygalinc, and J. P. Denat, Structural analysis of P-Time Petri Nets, Computational Engineering in Systems Applications (CESA'96), Lille, pp. 127-136, July 1996.

[13] S. Laftit, J. M. Proth, and X. Xie, Optimisation of invariant Criteria for Event Graph, IEEE Trans. on Automatic Control, Vol. 37, no. 5, pp. 547-555, May 1992.
http://dx.doi.org/10.1109/9.135488

[14] S. Collart Dutilleul, J. P. Denat, and W. Khansa, Use of Periodic Controlled Petri Net for Discrete Event Dynamical System Control Synthesis, ECC'95, Rome, pp. 2060-2065, September 1995.

[15] J. Long, and B. Descotes-Genon, Flow Optimization Method for Control Synthesis of Fexible Manufacturing Systems Modeled by Controlled Timed Petri Nets, IEEE International Conference on Robotics and Automation, Atlanta, Georgia, Vol. 1, pp. 598-603, May 1993.
http://dx.doi.org/10.1109/ROBOT.1993.292044

[16] H. P. Hillion, and J. M. Proth, Performance evaluation of job-shop systems using timed event graphs, IEEE Trans. on Automatic Control, Vol. 34, no. 1, pp. 3-9, 1989.
http://dx.doi.org/10.1109/9.8644

[17] N. Jerbi, S. Collart Dutilleul, E. Craye, and M. Benrejeb, Localization of Time Disturbances in Tolerant Multiproduct Job-shopsWithout Assembling Tasks, Computational Engineering in Systems Applications (CESA'06), Beijing, pp. 45-50, October 2006.
Published
2006-10-01
How to Cite
JERBI, Nabil et al. Time Disturbances and Filtering of Sensors Signals in Tolerant Multi-product Job-shops with Time Constraints. INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, [S.l.], v. 1, n. 4, p. 61-72, oct. 2006. ISSN 1841-9844. Available at: <http://univagora.ro/jour/index.php/ijccc/article/view/2308>. Date accessed: 31 oct. 2020. doi: https://doi.org/10.15837/ijccc.2006.4.2308.

Keywords

P-time Petri net, sensor signal, filtering, time disturbance, localization