Skip to main content
Log in

Cooperative Target-centric Formation Control without Relative Velocity Measurements under Heterogeneous Networks

  • Published:
Journal of Intelligent & Robotic Systems Aims and scope Submit manuscript

Abstract

This paper proposes distributed control laws for a group of unmanned aerial vehicles (UAVs) to make and maintain a circular formation around a maneuvering target. The work considers usage of heterogeneous communication networks to achieve the desired formation. Two different scenarios are considered on velocity information. In both scenarios, it is assumed that each UAV has its own position and velocity measurements available to itself. However, the team is unable to exchange velocity information among themselves. In the first scenario, each agent uses its own position and velocity information in the consensus algorithm. In the second scenario, agents need only position information for the consensus algorithm. For both the approaches, each agent calculates a virtual estimate of target’s velocity from the received information and exchanges the estimate with its neighbors. The control algorithms are developed using heterogeneous communication networks to satisfy a communication bandwidth constraint. Three different communication networks are used to circulate position information, virtual estimates, and its time derivatives. The graphs representing communication networks are undirected and connected. Further, it is considered that there is at least one UAV (agent) receiving position, velocity, and acceleration information of the target. The agent receiving target’s position need not be the same agent which receives velocity and/or acceleration information of the maneuvering target. However, the target does not receive any information from any agent. Using Barbalat’s lemma, the stability of the target-centric formation of a group of UAVs is analyzed. The performance of the proposed laws are illustrated through numerical simulations.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Abdessameud, A., Tayebi, A.: On consensus algorithms for double integrator dynamics without velocity measurements and with input constraints. Syst. Control Lett. 59(12), 812–821 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  2. Abdessameud, A., Tayebi, A.: On consensus algorithm design for double integrator dynamics. Automatica 49(1), 253–260 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  3. Dong, L., Chen, Y., Qu, X.: Formation control strategy for nonholonomic intelligent vehicles based on virtual structure and consensus approach. Proc. Eng. 137, 415–424 (2016)

    Article  Google Scholar 

  4. Goldin, D., Raisch, J.: Consensus for agents with double integrator dynamics in heterogeneous networks. Asian J. Control Wiley Online Libr. 16(1), 30–39 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  5. Guo, W., Austin, F., Chen, S., Sun, W.: Pinning synchronization of the complex networks with non-delayed and delayed coupling. Phys. Lett. A 373(17), 1565 –1572 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  6. Khalil, H. K.: Nonlinear systems, 3rd edn. Prentice Hall, Englewood Cliffs (2002)

    MATH  Google Scholar 

  7. Kothari, M., Sharma, R., Postlewaite, I., Beard, R., Pack, D.: Cooperative target-capturing with incomplete target information. J. Intell. Robot. Syst.: Theory Appl. 72(3-4), 373–384 (2013)

    Article  Google Scholar 

  8. Kowdiki, K., Barai, R.K., Bhattacharya, S.: Leader-follower formation control using artificial potential functions: A kinematic approach. In: 2012 International Conference on Advances in Engineering, Science and Management (ICAESM), pp 500–505. Nagapattinam, Tamil Nadu (2012)

  9. Mei, J., Ren, W., Ma, G.: Distributed coordination for second order multi-agent systems with non-linear dynamics using only relative position measurements. Automatica 49(5), 1419–1427 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  10. Oh, K. K., Ahn, H. S.: Formation control and network localization via orientation alignment. IEEE Trans. Autom. Control 59(2), 540–545 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  11. Olfati-Saber, R., Fax, J., Murray, R.: Consensus and cooperation in networked multi-agent systems. Proc. IEEE 95(1), 215–233 (2007)

    Article  Google Scholar 

  12. Peng, Z., Wen, G., Rahmani, A., Yu, Y.: Leader–follower formation control of nonholonomic mobile robots based on a bioinspired neurodynamic based approach. Robot. Auton. Syst. 61(9), 988–996 (2013)

    Article  Google Scholar 

  13. Plemmons, R.: M-matrix characterizations. I—nonsingular M-matrices. Linear Algebra Appl. Elsevier 18(2), 175–188 (1977)

    Article  MathSciNet  MATH  Google Scholar 

  14. Qin, J., Zheng, W., Gao, H.: Coordination of multiple agents with double-integrator dynamics under generalized interaction topologies. IEEE Trans. Syst., Man, Cybern. Part B: Cybern. 42(1), 44–57 (2012)

    Article  Google Scholar 

  15. Ren, W.: On consensus algorithm for double-integrator dynamics. IEEE Trans. Autom. Control 53(6), 1503–1509 (2008)

    Article  MathSciNet  Google Scholar 

  16. Ren, W., Beard, R., Atkins, E.: Information consensus in multivehicle cooperative control. IEEE Control Syst. Mag. 27(2), 71–82 (2007)

    Article  Google Scholar 

  17. Sahoo, S., Banavar, R., Sinha, A.: Rendezvous in space with minimal sensing and coarse actuation. Automatica 49(2), 519–525 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  18. Sen, A., Sahoo, S. R., Kothari, M.: A cooperative target-centric formation with bounded acceleration. IFAC-PapersOnLine 49(1), 425–430 (2016). 4th {IFAC} Conference on Advances in Control and Optimization of Dynamical Systems ACODS 2016Tiruchirappalli, India

    Article  Google Scholar 

  19. Sen, A., Sahoo, S. R., Kothari, M.: Target centric formation control with bounded input. In: 2016 Indian Control Conference (ICC), pp 330–334, Hyderabad, India (2016)

  20. Shaochun, C., Xian, Z.: The results of consensus for the network of multi-agents with double-integrator dynamics. In: 32nd Chinese Control Conference (CCC), pp 6838–6843, Xi’an, China (2013)

  21. Yu, W., Chen, G., Cao, M.: Some necessary and sufficient conditions for second-order consensus in multi-agent dynamical systems. Automatica 46(6), 1089–1095 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  22. Yu, X., Liu, L.: Distributed circular formation control of ring-networked nonholonomic vehicles. Automatica 68, 92–99 (2016)

    Article  MathSciNet  MATH  Google Scholar 

  23. Zhao, Y., Duan, Z., Wen, G.: Distributed finite-time tracking of multiple euler–lagrange systems without velocity measurements. Int. J. Robust Nonlinear Control 25(11), 1688–1703 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  24. Zheng, Y., Zhu, Y., Wang, L.: Consensus of heterogeneous multi-agent systems. Control Theory Appl. IET 5(16), 1881–1888 (2011)

    Article  MathSciNet  Google Scholar 

  25. Zhu, J., Lu, J., Yu, X.: Flocking of multi-agent non-holonomic systems with proximity graphs. IEEE Trans. Circ. Syst. I: Regular Papers 60(1), 199–210 (2013)

    MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mangal Kothari.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sen, A., Sahoo, S.R. & Kothari, M. Cooperative Target-centric Formation Control without Relative Velocity Measurements under Heterogeneous Networks. J Intell Robot Syst 87, 683–698 (2017). https://doi.org/10.1007/s10846-017-0497-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10846-017-0497-6

Keywords

Navigation