Aggressive Collision Avoidance and Control Method for Quadrotor

  • Conference paper
  • First Online:
Advances in Guidance, Navigation and Control ( ICGNC 2022)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 845))

Included in the following conference series:

  • 221 Accesses

Abstract

To solve the problem of aggressive flight control, this paper designs the trajectory tracking controller and collision avoidance strategy for quadrotor. Firstly, a six degree of freedom model of quadrotor is established, and quaternion is used to represent the attitude error of a quadrotor, which is used to design the aggressive trajectory tracking controller. Secondly, the collision avoidance method based on artificial potential field is designed. The quadrotor can track the predetermined trajectory while avoiding high-speed moving obstacles under the control of virtual force. Finally, the simulation experiment of aggressive collision avoidance in typical environment is completed. Using the proposed method, the deviation from the desired position is half of the traditional method, and the safety distance from the moving obstacles is 1.5 times of traditional method while avoiding high-speed moving obstacles.

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

Access this chapter

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 469.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 599.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info
Hardcover Book
USD 599.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Liu, Z.C., Tang, S.J., Li, M.T., Wang, X., Guo, J.: Research on optimal control allocation of fixed-wing VTOL UAVs in transition maneuver. Acta Armamentarii 40(2), 314–325 (2019)

    Google Scholar 

  2. Faessler, M., Fontana, F., Forster, C., Scaramuzza, D.: Automatic re-initialization and failure recovery for aggressive flight with a monocular vision-based quadrotor. In: 2015 IEEE International Conference on Robotics and Automation. ICRA, pp. 1722–1729. IEEE, New York (2015)

    Google Scholar 

  3. Lv, J.Q.: Research on wind resistance control technology of quadrotor unmanned aerial vehicle. Master, Harbin Institute of Technology (2019)

    Google Scholar 

  4. Liu, H., Li, D.J., Zuo, Z.Y.: Robust three-loop trajectory tracking control for quadrotors with multiple uncertainties. IEEE Trans. Industr. Electron. 63(4), 2263–2274 (2016)

    Google Scholar 

  5. Liang, C., Liu, X.X., Zhang, X.W., Huang, J.X.: Design of control law for quadrotor UAV based on reinforcement learning. Computer Measurement Control 29(2), 71–75 (2021)

    Google Scholar 

  6. Meng, Z.J., **, X.S., Chen, X.Z.: 3D obstacle avoidance method and simulation for unmanned helicopter. J.of Bei**g Univ. Aeronautics Astronautics 42(8), 1619–1626 (2016)

    Google Scholar 

  7. Liu, Y.B., Li, S.L., He, J.H., Ao, H.Y.: Real-time obstacle avoidance method based on pigeon-inspired optimization. J. Bei**g Univ. Aeronautics Astronautics 47(2), 359–365 (2021)

    Google Scholar 

  8. Li, C.: Nonlinear Flight Control of Quadrotor UAVs: Research and IMPLEMentation. Zhejiang University, Doctor (2017)

    Google Scholar 

  9. Wang, T., Wang, L., Liang, J., Chen, Y.: Autonomous control and trajectory tracking of quadrotor helicopter. In: 2012 IEEE International Conference on Computer Science and Automation Engineering. CSAE, pp. 251–255. IEEE, New York (2012)

    Google Scholar 

  10. Mayhew, C., Sanfelice, R., Teel, A.: Quaternion-based hybrid control for robust global attitude tracking. IEEE Trans. Autom. Control 56(11), 2555–2566 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  11. Faessler, M., Falanga, D., Scaramuzza, D.: Thrust mixing, saturation, and body-rate control for accurate aggressive quadrotor flight. IEEE Robotics and Automation Letters 2(2), 476–482 (2017)

    Article  Google Scholar 

  12. Falanga, D., Kleber, K., Scaramuzza. D.: Dynamic obstacle avoidance for quadrotors with event cameras. Science Robotics 5(40), eaaz9712 (2020)

    Google Scholar 

  13. Glover, A., Bartolozzi, C.: Event-driven ball detection and gaze fixation in clutter. In: 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS, pp. 2203–2208. IEEE, Daejeon (2016)

    Google Scholar 

  14. Falanga, D., Kim, S., Scaramuzza. D.: How fast is too fast? the role of perception latency in high-speed sense and avoid. IEEE Robotics and Automation Letters 4(2), 1884–1891 (2019)

    Google Scholar 

  15. Qin, T., Li, P.L., Shen, S.J.: VINS-Mono: a robust and versatile monocular visual-inertial state estimator. IEEE Trans. Rob. 34(4), 1004–1020 (2018)

    Article  Google Scholar 

  16. Zhao, J., Chen, Z.K., Zhang, R.C.: Multi-rotor aircraft control based on cascade PID for precisely hovering over fixed point. Electron. Opt. Control. 28(8), 17–30 (2021)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zhihao Cai .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Zhao, J., Cao, C., Cai, Z., Wang, Y. (2023). Aggressive Collision Avoidance and Control Method for Quadrotor. In: Yan, L., Duan, H., Deng, Y. (eds) Advances in Guidance, Navigation and Control. ICGNC 2022. Lecture Notes in Electrical Engineering, vol 845. Springer, Singapore. https://doi.org/10.1007/978-981-19-6613-2_13

Download citation

Publish with us

Policies and ethics

Navigation