Skip to main content

Wind Speed Estimation and Station-Keeping Control for Stratospheric Airships with Extended Kalman Filter

  • Conference paper
  • First Online:
Proceedings of the 2015 Chinese Intelligent Automation Conference

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 337))

Abstract

Wind speed estimation and station-keeping control for stratospheric airship are studied. A mathematical model of the stratospheric airship flying against the wind is derived. Then using the position information of the airship, an extended Kalman filter (EKF) is designed to estimate the speeds of the airship and the wind. Numerical simulations show the filter is effective and robust so that it can be used in not only wind speed estimation but also station-keeping control of the stratospheric airship.

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
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. Li Z, Wu L, Zhang J (2012) Review of dynamics and control of stratospheric airships. Mech Prog 42(4):482–493 (in Chinese)

    Google Scholar 

  2. Fan C (2005) A new develop mobile communication—the research of stratospheric communications. Mod Electron Technol 210(19):1–3 (in Chinese)

    Google Scholar 

  3. Khoury GA, Gillett JD (1999) Airship technology. Cambridge University Press, London

    Google Scholar 

  4. Toshitaka T, Takashi A (2001) Effects of meteorological condition the operation of a stratospheric platform. In: The 3 rd Stratospheric Platform System Workshop, Tokyo, Japan

    Google Scholar 

  5. Nayler A (2003) Airship activity and development world-wide. AIAA 2003–6727

    Google Scholar 

  6. Sano M, Komatsu K, Kimura J et al (2003) Airship shaped balloon test flights to the stratosphere. AIAA 2003–6798

    Google Scholar 

  7. Harada K, Eguchi K, Sano M et al (2003) Experimental study of thermal modeling for stratospheric platform airships. AIAA 2003–6833

    Google Scholar 

  8. Lin X, Hong L, Lan W (2013) One dimensional trajectory optimization for stratospheric airship with varying thruster efficiency. In: 10th IEEE International Conference on. IEEE, pp 378–383

    Google Scholar 

  9. Hong L, Lin X, Lan W (2014) Mode switch sequence analysis on one-dimensional trajectory optimization of stratospheric airships. Control Int Syst 42(2):151–158

    MathSciNet  Google Scholar 

  10. Nichita C, Luca D, Dakyo B et al (2002) Large band simulation of the wind speed for real time wind turbine simulators. IEEE Trans Energy Convers 17(4):523–529

    Article  Google Scholar 

  11. Xu M, Ding S (2003) Flight Dynamics. Science Press. Beijing, China, pp 14–26 (in Chinese)

    Google Scholar 

  12. Qin Y, Zhang H, Wang S (2012) Kalman filter and the principle of integrated navigation (the second edition). Northwestern Polytechnic University Press, Xi’an (in Chinese)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Shaoping Shen or Huiyu Jin .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Shen, S., Liu, L., Huang, B., Lin, X., Lan, W., Jin, H. (2015). Wind Speed Estimation and Station-Keeping Control for Stratospheric Airships with Extended Kalman Filter. In: Deng, Z., Li, H. (eds) Proceedings of the 2015 Chinese Intelligent Automation Conference. Lecture Notes in Electrical Engineering, vol 337. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46463-2_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-46463-2_17

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-46462-5

  • Online ISBN: 978-3-662-46463-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics