Advertisement

Mitigation Control of Critical Faults in Production Systems

  • Jeferson A. L. de Souza
  • Diolino J. Santos Fo
  • Reinaldo SquillanteJr.
  • Fabricio Junqueira
  • Paulo E. Miyagi
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 423)

Abstract

The inherent complexity of critical production systems, coupled with policies to preserve people´s safety and health, environmental management, and the facilities themselves, and stricter laws regarding the occurrence of accidents, are the motivation to the design of Safety Control Systems that leads the mitigation functionality. According to experts, the concept of Safety Instrumented Systems (SIS) is a solution to these types of issues. They strongly recommend layers of risk reduction based on hierarchical control systems in order to manage risks, preventing or mitigating faults, and to lead the process to a safe state. Additionally some of the safety standards such as IEC 61508, IEC 61511, among others, guide different activities related Safety Life Cycle design of SIS. The IEC 61508 suggests layers of critical fault prevention and critical fault mitigation. In the context of mitigation control system, the standard provides a recommendation of activities to mitigate critical faults, by proposing control levels of mitigation. This paper proposes a method to implement the mitigation layer based on the risk analysis of the plant and the consequences of faults of its critical components. The control architecture, based on distributed and hierarchical control systems in a collaborative way, will make use of the techniques of risk analysis raised and mitigation actions, based on the knowledge of an expert, implemented by fuzzy logic.

Keywords

Critical Systems Mitigation Control System Safety Instrumented System Fuzzy Logic 

References

  1. 1.
    Chen, C., Dai, J.: Design and high-level synthesis of hybridcontroller. In: Proc. of IEEE Intern. Conf.of Networking, Sensing & Control (2004)Google Scholar
  2. 2.
    SantosFilho, D.J.: Aspectos do Projeto de Sistemas Produtivos. PHDThesis, Escola PolitécnicadaUniversidade deSãoPaulo, Brazil (2000)Google Scholar
  3. 3.
    Wu, B., Xi, L.-F., Zhuo, B.-H.: Service-oriented communication architecture for automated manufacturing system integration. Int. J. Computer Integrated Manufacturing 21(5), 599–615 (2008)CrossRefGoogle Scholar
  4. 4.
    Sallak, M., Simon, C., Aubry, J.: A fuzzy probabilistic approach for determining safety integrity level. IEEE Transaction on Fuzzy Systems 16(1), 239–248 (2008)CrossRefGoogle Scholar
  5. 5.
    Zhang, Y., Jiang, J.: Bibliographical review on reconfigurable fault-tolerant control systems. Annual Reviews in Control 32, 229–252 (2008)CrossRefGoogle Scholar
  6. 6.
    Summers, A., Raney, G.: Common cause and commonsense, designing failure out of your safety instrumented systems (SIS). ISA Transactions 38, 291–299 (1999)CrossRefGoogle Scholar
  7. 7.
    Miyagi, P.E.: ControleProgramável–Fundamentos do controle de sistemas a eventos discretos. Editora Edgard Blucher Ltda, SãoPaulo, SP, Brazil (2007)Google Scholar
  8. 8.
    IEC,I.E.C., Functional safety of electrical / electronic / programmable electronic safety-relatedsystems (IEC61508) (2010) Google Scholar
  9. 9.
    IEC,I.E.C. Functionalsafety-safety instrumented systems for the process industry sector-part 1(IEC 61511) (2003a) Google Scholar
  10. 10.
    Lundteigen, M.-A., Rausand, M.: Architectural constraints in IEC61508: Do they have the intended effect? In: Reliability Engineering and System Safety, pp. 520–525. Elsevier SciencePublisher Ltd. (2009)Google Scholar
  11. 11.
    Bell, R.: Introduction to IEC61508. In: Proceedings of ACS Workshop on Tools and Standards, Sydney, Australia (2005)Google Scholar
  12. 12.
    Squillante Jr., R., Santos Filho, D., Riascos, L., Junqueira, F., Miyagi, P.: Mathematical method for modeling and validating of safety instrumented system designed according to IEC61508 and IEC61511. In: InCobem 2011 (2011)Google Scholar
  13. 13.
    Modarres, M., Kaminskiy, M., Krivstov, V.: Reliability Engineering and Risk Analysis: apractical guide, 2nd edn. CRCPress (2010)Google Scholar
  14. 14.
    Souza, E.A.: O treinamento industrial e a gerência de riscos–uma proposta de instrução programada.Master Thesis, Universidade Federal de Santa Catarina, Brazil (1995)Google Scholar
  15. 15.
    Squillante Jr., R., Fo, D.J.S., de Souza, J.A.L., Junqueira, F., Miyagi, P.E.: Safety in supervisory control for critical systems. In: Camarinha-Matos, L.M., Tomic, S., Graça, P. (eds.) DoCEIS 2013. IFIP AICT, vol. 394, pp. 261–270. Springer, Heidelberg (2013)CrossRefGoogle Scholar
  16. 16.
    Cavalheiro, A., Santos Fo, D., Andrade, A., Cardoso, J.R., Bock, E., Fonseca, J., Miyagi, P.E.: Design of supervisory control system for ventricular assist device. In: Camarinha-Matos, L.M. (ed.) Technological Innovation for Sustainability. IFIP AICT, vol. 349, pp. 375–382. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  17. 17.
    Popa, D.D., Craciunescu, A., Kreindler, L.: API-Fuzzy controller designated for industrial motor control applications. In: ISIE IEEE International Symposium on Applications, Industrial Eletronics (2008)Google Scholar
  18. 18.
    Legaspe, E.P., Dias, E.M.: Open source fuzzy controller for programmable controllers. In: 13th Mechatronics Forum Biennial International Conference (2012)Google Scholar
  19. 19.
    IEC,I.E.C. Programmable Controllers IEC 61131-7: Fuzzy Control programming (2000)Google Scholar
  20. 20.
    IEC,I.E.C., Programmable controllersIEC61131-part 3: Programming languages (2003b) Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2014

Authors and Affiliations

  • Jeferson A. L. de Souza
    • 1
  • Diolino J. Santos Fo
    • 1
  • Reinaldo SquillanteJr.
    • 1
  • Fabricio Junqueira
    • 1
  • Paulo E. Miyagi
    • 1
  1. 1.University of São PauloSão PauloBrazil

Personalised recommendations