Skip to main content

Reconfigurable Assembly Approach for Wind Turbines Using Multiple Intelligent Agents

  • Conference paper
  • First Online:
Advances in Reconfigurable Mechanisms and Robots I

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Joselin Herbert GM, Iniyan S, Sreevalsan E, Rajapandian S (2005) A review of wind energy technologies. Renew Substainable Energy Rev 11((2007):1117–1145

    Google Scholar 

  2. Ezio S, Claudio C (1998) Exploitation of wind as an energy source to meet the world’s electricity demand. Wind Eng 74(76):375–87

    Google Scholar 

  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., Singapore

    Google Scholar 

  4. Saidur R, Islam MR, Rahim NA, Solangi KH (2010) A review on global wind energy policy. Renew Substainable Energy Rev 14:1744–1762

    Article  Google Scholar 

  5. Sharpe M (2009) Robotic fabrication of wind turbine power generators. Weld J 8:40–44

    Google Scholar 

  6. Li H, Chen Z (2007) Overview of different wind generator systems and their comparisons. IET Renew Power Gener 2(2):123–138

    Article  Google Scholar 

  7. Li H, Chen Z (2009) Design optimization and site matching of direct-drive permanent magnet wind power generator systems. Renew Energy 34:1175–1184

    Article  Google Scholar 

  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 1–26

    Google Scholar 

  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):54–62

    Article  Google Scholar 

  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 56–70

    Google Scholar 

  11. Bradshaw JM (1997) Software agents. MIT, Cambridge

    Google Scholar 

  12. Wooldridge M, Jennings NR (1995) Intelligent agents: theory and practice. Knowl Eng Rev 10(02):115–152

    Article  Google Scholar 

  13. Shoham Y (1993) Agent-orientated programming. Artif Intell 60(1):51–92

    Article  MathSciNet  Google Scholar 

  14. Vbra P (2003) Manufacturing agent simulation tool. In IEEE conference of emerging technologies and factory automation, pp 282–287

    Google Scholar 

  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, 2007

    Google Scholar 

  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):527–540

    Article  Google Scholar 

  17. Koren Y, Shpitalni M (2011) Design of reconfigurable manufacturing systems. J Manuf Syst 29(4):130–141

    Article  Google Scholar 

  18. Huang X (2004) Research on methodology of intelligent and reconfigurable assembly lionde and simulation plantform. Chinese Academny of Science, Shenyang

    Google Scholar 

  19. Lang SYT, Shen W, Bi ZM, Wang L (2007) Reconfigurable manufacturing systems: the state of the art. Int J Prod Res 46(4):967–992

    Google Scholar 

  20. Cad drawings of a wind turbine hub (2011) Technical report, Gamesa Corporacin Tecnolgica

    Google Scholar 

  21. Russell SJ, Norvig P (2002) Artificial intelligence: a modern approach (International edn.). Pearson US Imports & PHIPEs, Upper Saddle River

    Google Scholar 

  22. Beckhoff Automation GmbH (2010) TwinCAT® 3: extended automation

    Google Scholar 

Download references

Acknowledgments

The work described in this paper is supported by COSMOS project grant from the European Communities Seventh Framework Programme (FP7-NMP-2009-SMALL-3, NMP- 2009-3.2-2) under grant agreement 246371-2.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to C. Deters .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag London

About this paper

Cite this paper

Deters, C., Wurdemann, H.A., Dai, J.S., Seneviratne, L.D., Althoefer, K. (2012). Reconfigurable Assembly Approach for Wind Turbines Using Multiple Intelligent Agents. In: Dai, J., Zoppi, M., Kong, X. (eds) Advances in Reconfigurable Mechanisms and Robots I. Springer, London. https://doi.org/10.1007/978-1-4471-4141-9_10

Download citation

  • DOI: https://doi.org/10.1007/978-1-4471-4141-9_10

  • Published:

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4140-2

  • Online ISBN: 978-1-4471-4141-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics