A hybrid supervisory control approach for virtual production systems

ORIGINAL ARTICLE

Abstract

With the development of computer technology, the anticipated extensive use of virtual production systems (VPSs) in the future has encouraged its intensive research recently. However, a limited amount of research has been made on its efficient control. In this paper, a hybrid supervisory control approach based on autonomy and coordination is proposed for VPSs to enhance the efficiency of control. Its three primary advantages are: (1) application of supervisory control theory, which can efficiently obtain the desired property through closed-loop feedback; (2) use of hybrid control structure combining hierarchical and distributed ones, which can avoid the exponential explosion of state space due to synthesis of models; and (3) utilization of autonomous and coordination mechanisms, which can keep the balance of local quick response and global optimization. A case study is used to illustrate how to implement the proposed approach, and is finally analyzed and simulated by an integrated tool named UPPAAL.

Keywords

Autonomy and coordination Hybrid supervisory control Supervisory control theory Virtual production systems (VPSs) 

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Notes

Acknowledgement

The work described in this paper was substantially supported by a Research Grant from the National Natural Science Foundation of China (70271036).

References

  1. 1.
    Jiang ZB, Fung RYK, Tu YL et al (2000) A framework for adaptive control of virtual production systems. Proc 3rd World Congress on Intelligent Control and Automation (WCICA’2000), IEEE Press, pp138–142Google Scholar
  2. 2.
    Fung RYK, Jiang ZB, Zou MJ et al (2002) Adaptive production scheduling of virtual production systems using OPNS-CS with changeable structure. Int J Prod Res 40(8):1759–1785MATHCrossRefGoogle Scholar
  3. 3.
    Jiang ZB, Fung RYK (2003) An adaptive agile manufacturing control infrastructure based on TOPNs-CS modeling. Int J Adv Manuf Technol 22:191–215CrossRefGoogle Scholar
  4. 4.
    Desrochers AA, Al-Jaar RY (1995) Applications of Petri nets in manufacturing systems. IEEE, New YorkMATHGoogle Scholar
  5. 5.
    Brandin BA, Wonham WM (1994) Supervisory control of timed discrete-event systems. IEEE Trans 39(2):329–342MATHMathSciNetGoogle Scholar
  6. 6.
    Qiu RG, Joshi SB (1999) A structured adaptive supervisory control methodology for modeling the control of a discrete event manufacturing system. IEEE Trans Syst, Man Cybern, Part A: Syst Hum 29(6):573–586CrossRefGoogle Scholar
  7. 7.
    Leduc RJ, Brandin BA, Wonham WM et al (2001) Hierarchical interface-based supervisory control: serial case. Proc. 40th IEEE Conf Decis Control 5:4116–4121Google Scholar
  8. 8.
    Leduc RJ, Wonham WM, Lawford M (2002) Hierarchical interface-based supervisory control: parallel case. Proc 39th Allerton Conference on Comm, Contr, and Comp, pp 386–395Google Scholar
  9. 9.
    Chandra V, Oruganti B, Kumar R (2002) UKDES: a graphical software tool for the design, analysis & control discrete event systems. IEEE Trans Control Syst Technol, submitted for publicationGoogle Scholar
  10. 10.
    Fabian M, Hellgren A (2000) Desco - a tool for education and control of discrete event systems. Kluwer, DordrechtGoogle Scholar
  11. 11.
  12. 12.
    Behrmann G, David A, Larsen KG (2001) UPPAAL-present and future. Proc 40th IEEE Conference on Decision and Control (CDC’2001), Orlando, FL, USA, pp 2881–2886Google Scholar
  13. 13.
    Cavalieri S, Mirabella O (1996) A PN-based scheduler for a flexible semiconductor manufacturing system. Proc 1996 IEEE Conference on Emerging Technologies and Factory Automation (ETFA’96), Kauai, HI USA, pp 724–729Google Scholar
  14. 14.
    Reyes A, Yu H, Lloyd S (2001) An evolutionary hybrid scheduler based in Petri net structures for FMS scheduling. Proc 2001 IEEE International Conference on Systems, Man, and Cybernetics, Tucson, AZ USA, pp 2516–2521Google Scholar

Copyright information

© Springer-Verlag London Limited 2006

Authors and Affiliations

  1. 1.Department of Industrial Engineering & Management, School of Mechanical EngineeringShanghai Jiao Tong UniversityShanghai 200030China

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