Skip to main content

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 451))

  • 467 Accesses

Abstract

This paper introduces a control scheme for a quadcopter with 3-degree of freedom tail. There are some works in manipulating mobile robot stability at this moment. However, in the field of aerial vehicle control, it needs an advanced investigation to present an experience of flight correction in one time with moving the manipulators. We present the results of modeling of a control scheme for a quadcopter with manipulator and analysis of efficiency.

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 219.99
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

References

  1. Korpela, C., Orsag, M., Pekala, M., Oh, P.: Dynamic stability of a mobile manipulating unmanned aerial vehicle. In: Proceedings—IEEE International Conference on Robotics and Automation, pp. 4922–4927 (2013)

    Google Scholar 

  2. Khalil, W.: Dynamic modeling of robots using recursive newton-euler techniques. In: 7th International Conference on Informatics in Control, Automation and Robotics, vol. 1, pp. 1–13 (2010)

    Google Scholar 

  3. McMillan, S., Orin, D.E., McGhee, R.B.: Efficient dynamic simulation of an underwater vehicle with a robotic manipulator. IEEE Trans. Syst. Man Cybern. 25(8), 1194–1206 (1995)

    Article  Google Scholar 

  4. Merchant, M.P., Miller, L.S.: Propeller Performance Measurement for Low Reynolds Number UAV Applications (2006)

    Google Scholar 

  5. Miskovic, N., Vukic, Z., Bibuli, M.: Marine vehicles’ line following controller tuning through self-oscillation experiments. In: 17th Mediterranean Conference on Control and Automation, MED, pp. 916–921 (2009)

    Google Scholar 

  6. Ng, A.Y., Coates, A., Diel, M., Ganapathi, V., Schulte, J., Tse, B., Liang, E.: Autonomous inverted helicopter flight via reinforcement learning. In: Proceedings of International Symposium on Experimental Robotics, pp. 363–372 (2004)

    Google Scholar 

  7. Orsag, M., Korpela, C., Danko, T., Kobe, B., McNeil, C., Pisch, R., Oh, P.: Flight stability in aerial redundant manipulators. In: Proceedings—IEEE International Conference on Robotics and Automation, pp. 3529–3530 (2012)

    Google Scholar 

  8. Orsag, M., Korpela, C., Oh, P.: Modeling and control of mm-uav: Mobile manipulating unmanned aerial vehicle. J. Intell. Robot. Syst. Theory Appl. 69(1–4), 227–240 (2013)

    Article  Google Scholar 

  9. Trautmann, S., Albers, A., Howard, T., Nguyen, T.A., Frietsch, M., Sauter, C.: Semi-autonomous flying robot for physical interaction with environment. In: 2010 IEEE Conference on Robotics, Automation and Mechatronics, RAM 2010, pp. 441–446 (2010)

    Google Scholar 

Download references

Acknowledgments

This work is supported in part by grant of the Ministry of Education and Science of The Russian Federation (project number #2.1917.2014K_2014) and grant of The Russian Foundation for Basic Research (grant number #16-07-00635A).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Andrey S. Solovyov .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Solovyov, A.S., Kamaev, V.A. (2016). Tail-Assisted Active Controller of a Mobile Unmanned Aerial Vehicle. In: Abraham, A., Kovalev, S., Tarassov, V., Snášel, V. (eds) Proceedings of the First International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’16). Advances in Intelligent Systems and Computing, vol 451. Springer, Cham. https://doi.org/10.1007/978-3-319-33816-3_36

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-33816-3_36

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-33815-6

  • Online ISBN: 978-3-319-33816-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics