Reconfigurable Assembly Approach for Wind Turbines Using Multiple Intelligent Agents

  • C. Deters
  • H. A. Wurdemann
  • Jian S. Dai
  • L. D. Seneviratne
  • K. Althoefer
Conference paper

Abstract

This paper investigates the use of an agent based assembly strategy for a wind turbine hub. The manual assembly procedure for a wind turbine is presented. The hub parts are constantly optimised and therefore a fully automated assembly line requires continously reprogramming. Thus, a new reconfigurable assembly system is introduced which is flexible and self-adaptive. The methodology of implementing an intelligent agent for designing the assembly strategy for the wind generator hub and the algorithm for the optimal task sequence are described. This reconfigurable automation runs a Partial Order Planning algorithm in real-time using Beckhoff TwinCAT® 3.

Keywords

Reconfigurable assembly Intelligent agent Partial order planning Wind turbine Beckhoff TwinCAT®

References

  1. 1.
    Joselin Herbert GM, Iniyan S, Sreevalsan E, Rajapandian S (2005) A review of wind energy technologies. Renew Substainable Energy Rev 11((2007):1117–1145Google Scholar
  2. 2.
    Ezio S, Claudio C (1998) Exploitation of wind as an energy source to meet the world’s electricity demand. Wind Eng 74(76):375–87Google Scholar
  3. 3.
    Yao F, Bansal RC, Dong ZY, Saket RK, Shakya JS (2011) Wind energy resources: theory, design and applications. Handbook of renewable energy technology, pp 3–20. World Scientific Publishing Co. Pte. Ltd., SingaporeGoogle Scholar
  4. 4.
    Saidur R, Islam MR, Rahim NA, Solangi KH (2010) A review on global wind energy policy. Renew Substainable Energy Rev 14:1744–1762CrossRefGoogle Scholar
  5. 5.
    Sharpe M (2009) Robotic fabrication of wind turbine power generators. Weld J 8:40–44Google Scholar
  6. 6.
    Li H, Chen Z (2007) Overview of different wind generator systems and their comparisons. IET Renew Power Gener 2(2):123–138CrossRefGoogle Scholar
  7. 7.
    Li H, Chen Z (2009) Design optimization and site matching of direct-drive permanent magnet wind power generator systems. Renew Energy 34:1175–1184CrossRefGoogle Scholar
  8. 8.
    Cheng BHC, de Lemos R, Giese H, Inverardi P, Magee J (2009) Software engineering for self-adaptive systems: a research roadmap. LNCS 5525. Springer, Berlin, pp 1–26Google Scholar
  9. 9.
    Oreizy P, Gorlick MM, Taylor RN, Heimhigner D, Johnson G, Medvidovic N, Quilici A, Rosenblum DS, Wolf AL (1999) An achitecture-based approach to self-adaptive software. IEEE Trans Intell Syst Appl 14(3):54–62CrossRefGoogle Scholar
  10. 10.
    Castelfranchi C (1995) Guarantees for autonomy in cognitive agent architecture. In: Wooldridge M, Jennings N (eds) Intelligent agents, volume 890 of lecture notes in computer science, Springer, Berlin, pp 56–70Google Scholar
  11. 11.
    Bradshaw JM (1997) Software agents. MIT, CambridgeGoogle Scholar
  12. 12.
    Wooldridge M, Jennings NR (1995) Intelligent agents: theory and practice. Knowl Eng Rev 10(02):115–152CrossRefGoogle Scholar
  13. 13.
    Shoham Y (1993) Agent-orientated programming. Artif Intell 60(1):51–92MathSciNetCrossRefGoogle Scholar
  14. 14.
    Vbra P (2003) Manufacturing agent simulation tool. In IEEE conference of emerging technologies and factory automation, pp 282–287Google Scholar
  15. 15.
    Xuemei H (2007) Implementing manufacturing manufacturing reconfiguration methodolgy in multi agent system of reconfigurable assembly line. In: International conference on mechatronics and automation, Harbin, China, 2007Google Scholar
  16. 16.
    Heisel U, Jovane F, Moriwaki T, Pritschow G, Ulsoy G, Koren Y, Van Brussel H (1999) Reconfigurable manufacturing systems. CIRP Ann Manuf Technol 48(2):527–540CrossRefGoogle Scholar
  17. 17.
    Koren Y, Shpitalni M (2011) Design of reconfigurable manufacturing systems. J Manuf Syst 29(4):130–141CrossRefGoogle Scholar
  18. 18.
    Huang X (2004) Research on methodology of intelligent and reconfigurable assembly lionde and simulation plantform. Chinese Academny of Science, ShenyangGoogle Scholar
  19. 19.
    Lang SYT, Shen W, Bi ZM, Wang L (2007) Reconfigurable manufacturing systems: the state of the art. Int J Prod Res 46(4):967–992Google Scholar
  20. 20.
    Cad drawings of a wind turbine hub (2011) Technical report, Gamesa Corporacin TecnolgicaGoogle Scholar
  21. 21.
    Russell SJ, Norvig P (2002) Artificial intelligence: a modern approach (International edn.). Pearson US Imports & PHIPEs, Upper Saddle RiverGoogle Scholar
  22. 22.
    Beckhoff Automation GmbH (2010) TwinCAT® 3: extended automationGoogle Scholar

Copyright information

© Springer-Verlag London 2012

Authors and Affiliations

  • C. Deters
    • 1
  • H. A. Wurdemann
    • 1
  • Jian S. Dai
    • 1
  • L. D. Seneviratne
    • 1
  • K. Althoefer
    • 1
  1. 1.School of Natural and Mathematical SciencesCentre for Robotics ResearchLondonUK

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