Skip to main content

Formation Flight of Multi-agent Based on Formation Feedback Control

  • Conference paper
Intelligent Science and Intelligent Data Engineering (IScIDE 2012)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7751))

  • 2427 Accesses

Abstract

In traditional leader-follower approach, there is no formation feedback from the followers to the leader. If the leader moves too fast, due to the control saturation, the followers will not be able to track the desired position to keep formation. In order to overcome the disadvantage of the leader-follower approach, based on the idea of formation feedback, a leader controller with formation feedback from the followers is designed to guarantee both formation maintenance and formation speed. In general flight, the angular acceleration of the leader can’t be obtained by the follower. Based on the sliding mode control theory, the follower controller without the angular acceleration is designed to overcome the problem of information absence. Finally, a simulation of four agents flight in the three-dimension space is given to prove its effectiveness.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Desai, J.P., Ostrowski, J.P., Kumar, V.: Modeling and Control of Formations of Nonholonomic Mobile Robots. IEEE Transactions on Robotics and Automation 17(6), 905–908 (2001)

    Article  Google Scholar 

  2. Consolini, L., Morbidi, F., Prattichizzo, D., Tosques, M.: Leader–follower formation control of nonholonomic mobile robots. Automatica 44, 1343–1349 (2008)

    Article  MathSciNet  Google Scholar 

  3. Cui, R., Ge, S.S., How, B.V.E., Choo, Y.S.: Leader–follower formation control of underactuated autonomous underwater vehicles. Ocean Engineering 37(7), 1491–1502 (2010)

    Article  Google Scholar 

  4. Paul, T., Krogstad, T.R., Gravdahl, J.T.: Modelling of UAV formation flight using 3D potential field. Simulation Modelling Practice and Theory 16, 1453–1462 (2008)

    Article  Google Scholar 

  5. Ren, W., Beard, R.W.: Formation feedback control for multiple spacecraft via virtual structures. IEE Proc. Control Theory Appl. 151(3), 357–368 (2004)

    Article  Google Scholar 

  6. Ren, W., Beard, R.W.: A Decentralized Scheme for Spacecraft Formation Flying via the Virtual Structure Approach. In: Proceedings of the American Control Conference, pp. 1746–1751 (2003)

    Google Scholar 

  7. Wei, C., Guo, J., Cui, N.: Research on the Missile Formation Keeping Optimal Control for Cooperative Engagement. Journal of Astronautic 31(4), 1043–1050 (2010)

    Google Scholar 

  8. Ma, P., Ji, J.: Three-dimensional Multi-missile Formation Control. Acta Aeronautica et Astronautica Sinica 31(8), 1660–1666 (2010)

    Google Scholar 

  9. Young, B., Beard, R., Kelsey, J.: A control scheme for improving multi-vehicle formation maneuvers. In: Proc. American Control Conference, Arlington, VA, pp. 704–709 (2001)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Zhang, L., Fang, Y., Gao, X. (2013). Formation Flight of Multi-agent Based on Formation Feedback Control. In: Yang, J., Fang, F., Sun, C. (eds) Intelligent Science and Intelligent Data Engineering. IScIDE 2012. Lecture Notes in Computer Science, vol 7751. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36669-7_33

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-36669-7_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36668-0

  • Online ISBN: 978-3-642-36669-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics