Skip to main content

Precise Formation Control for the Multi-agent Systems Based on Tilted Potential Field with Collision Avoidance

  • 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:

  • 183 Accesses

Abstract

This paper devotes to addressing the issue of precise formation control with local collision avoidance based on the artificial potential fields. Firstly, an improved artificial potential field, named tilted potential field, is designed in this paper, which has a minimum and a saddle that help to form the formation. Then, based on the tilted potential field, a precise formation control law for the multi-agent systems is designed to make them form the desired formation in most situations and avoid collisions between communicating agents without using the minimum rigid graph. Besides, this paper gives the complete stability analysis and corresponding stability conditions of the control law based on the Lyapunov function. Finally, in order to better illustrate the advantages and disadvantages of the proposed controller, the numerical simulations under some special conditions are carried out and the results are analyzed carefully.

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 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 shipping worldwide - see info
Hardcover Book
USD 599.99
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. Liu, S., Zhang, G., Li, B., Zhang, X.: Robust event-triggered formation control for underactuated ships under the practice constraint. In: 6th IEEE International Conference on Advanced Robotics and Mechatronics (ICARM), pp. 673–678. IEEE, Chongqing, China (2021)

    Google Scholar 

  2. Muslimov, T.Z., Rustem, A.M.: Consensus-based cooperative control of parallel fixed-wing UAV formations via adaptive backstepping. Aerosp. Sci. Technol. 109, 106416 (2021)

    Article  Google Scholar 

  3. Fu, X., Pan, J., Wang, H., Gao, X.: A formation maintenance and reconstruction method of UAV swarm based on distributed control. Aerosp. Sci. Technol. 104, 105981 (2020)

    Article  Google Scholar 

  4. Chang, K., Xia, Y., Huang, K.: UAV formation control design with obstacle avoidance in dynamic three-dimensional environment. Springerplus 5(1), 1–16 (2016)

    Article  Google Scholar 

  5. Bai, G., Li, Y., Fang, Y., Zhang, Y., Tao, J.: Network approach for resilience evaluation of a UAV swarm by considering communication limits. Reliab. Eng. Syst. Saf. 193, 106602 (2020)

    Article  Google Scholar 

  6. Mehdifar, F., Bechlioulis, P.C., Hashemzadeh, F., Baradarannia, M.: Prescribed performance distance-based formation control of multi-agent systems. Automatica 119, 109086 (2020)

    Article  MathSciNet  MATH  Google Scholar 

  7. Jung, H., Kim, D.H.: Potential-function-based shape formation in swarm simulation. Int. J. Control Autom. Syst. 12(2), 442–449 (2014)

    Article  MathSciNet  Google Scholar 

  8. Muslimov, T.Z., Rustem, A.M.: Adaptive decentralized flocking control of multi-UAV circular formations based on vector fields and backstepping. ISA Trans. 107, 143–159 (2020)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Liu Bojian .

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

Bojian, L., Jun, F., Yunxiao, Q., Aijun, L. (2023). Precise Formation Control for the Multi-agent Systems Based on Tilted Potential Field with Collision Avoidance. 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_10

Download citation

Publish with us

Policies and ethics