Skip to main content

Control of 3 DOF Quadrotor Model

  • Conference paper
Robot Motion and Control 2007

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 360))

Abstract

Unmanned aerial vehicles (UAVs) comprise various types of aircrafts such as conventional fixed-wing aircraft, helicopters, blimps, and air- ships. Among these, helicopters are classified as planar vertical take off and landing (PVTOL) aircraft by which it means that unlike a fixed-wing aircraft, it can take off and land in a limited space, hover in the air, and move sideways and backwards. This superior maneuverability allows performing important roles in many areas, which conven- tional aircraft could not achieve. The type of their useful work includes: dangerous applications such as in a war, victim rescue and volcano monitoring, where other types of vehicle are inaccessible, commercial application such as film making, and agricultural applications, farm monitoring and spreading chemicals [1]. The demand for UAVs keeps increasing. Unfortunately these exclusive maneuverability advantages give a big complexity and instability in its dynamics, hence making it hard to control. The development of a UAV is challenging, and it is an emerging area in nonlinear control study among researchers.

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 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
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. Sugiura R, Fukagawa T, Noguchi, N (2003) Field Information System Using an Agricultural Helicopter towards Precision Farming. Proc IEEE/ASME Int. Conf. on Advanced Intelligent Mechatronics 1073–1078

    Google Scholar 

  2. Lozano R, Castillo P, Dzul A (2004) Global stabilization of the PVTOL: real - time application to a mini-aircraft. Int. Journal of Control 77-8: 735–740

    Google Scholar 

  3. Bouabdallah S, Noth A, Siegwart R (2004) PID vs LQ Control Techniques Applied to an Indoor Micro Quadrotor. Proc. IEEE Int. Conf. on Intelligent Robots and Systems

    Google Scholar 

  4. Bouabdallah S, Murrieri P, Siegwart R (2004) Design and Control of an Indoor Micro Quadrotor. Proc. Int. Conf. on Robotics and Automation.

    Google Scholar 

  5. Yang C, Lai L, Wu C (2006) Time-Optimal Control of a Hovering Quad-Rotor Helicopter. Journal of Intelligent and Robotic Systems 45: 115–135

    Google Scholar 

  6. Altug E, Ostrowski J, Mahony R (2002) Control of a Quadrotor Helicopter Using Visual Feedback. Proc. Int. Conf. on Robotics & Automation.

    Google Scholar 

  7. Altug E, Ostrowski J, Taylor C (2003) Quadrotor Control Using Dual Camera Visual Feedback. Proc. Int. Conf. on Robotics & Automation.

    Google Scholar 

  8. Pounds P, Mahony R, Gresham J (2004) Towards Dynamically-Favourable Quad-Rotor Aerial Robots. Proc. Australian Conf. Robotics and Automation.

    Google Scholar 

  9. Murphy R, Hay T (2003) Helicopter Pitch Control. Final year project report, The University of Auckland.

    Google Scholar 

  10. Stojanovic A (2004) Two Degrees of Freedom Helicopter Controlled by a Programmable Logic Controller.ME Thesis, The University of Auckland.

    Google Scholar 

  11. Kim T, Zhao V (2004) Helicopter Height Control. Final year project report, The University of Auckland.

    Google Scholar 

  12. Campbell D, D’Souza L (2006) Design and Control of a Miniature Four Rotor Helicopter. Final year project report, The University of Auckland.

    Google Scholar 

  13. Draganfly Inovations Inc. supplier. url: http://www.rctoys.com/

    Google Scholar 

  14. Zheng J (2006) Comparison of Two Linearization Methods for Optimal attitude manoeuvre of a non-linear flexible spacecraft. IMA Journal of Mathematical Control and Information 127–136

    Google Scholar 

  15. Khalil HK (2002) Nonlinear Systems. third edition, Prentice Hall

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer London

About this paper

Cite this paper

Kim, T.S., Stol, K., Kecman, V. (2007). Control of 3 DOF Quadrotor Model. In: Kozłowski, K. (eds) Robot Motion and Control 2007. Lecture Notes in Control and Information Sciences, vol 360. Springer, London. https://doi.org/10.1007/978-1-84628-974-3_2

Download citation

  • DOI: https://doi.org/10.1007/978-1-84628-974-3_2

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84628-973-6

  • Online ISBN: 978-1-84628-974-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics