Abstract
In this paper, we present our recent advances in both theoretical methods and field experiments for the coordinated control of miniature fixed-wing unmanned aerial vehicle (UAV) swarms. We propose a multi-layered group-based architecture, which is modularized, mission-oriented, and can implement large-scale swarms. To accomplish the desired coordinated formation flight, we present a novel distributed coordinated-control scheme comprising a consensus-based circling rendezvous, a coordinated path-following control for the leader UAVs, and a leader-follower coordinated control for the follower UAVs. The current framework embeds a formation pattern reconfiguration technique. Moreover, we discuss two security solutions (inter-UAV collision avoidance and obstacle avoidance) in the swarm flight problem. The effectiveness of the proposed coordinated control methods was demonstrated in field experiments by deploying up to 21 fixed-wing UAVs.
This is a preview of subscription content, access via your institution.
References
- 1
Giulietti F, Pollini L, Innocenti M. Autonomous formation flight. IEEE Control Syst, 2000, 20: 34–44
- 2
Gu Y, Seanor B, Campa G, et al. Design and flight testing evaluation of formation control laws. IEEE Trans Contr Syst Technol, 2006, 14: 1105–1112
- 3
Yang Y, Polycarpou M M, Minai A A. Multi-UAV cooperative search using an opportunistic learning method. J Dyn Sys Meas Control, 2007, 129: 716
- 4
Qu Y H, Zhang F, Wu X W, et al. Cooperative geometric localization for a ground target based on the relative distances by multiple UAVs. Sci China Inf Sci, 2019, 62: 010204
- 5
Michael N, Fink J, Kumar V. Cooperative manipulation and transportation with aerial robots. Auton Robot, 2011, 30: 73–86
- 6
Jin Y, Minai A A, Polycarpou M M. Cooperative real-time search and task allocation in uav teams. In: Proceedings of the 42nd IEEE Conference on Decision and Control. New York: IEEE, 2003. 7–12
- 7
Xargay E, Kaminer I, Pascoal A, et al. Time-critical cooperative path following of multiple unmanned aerial vehicles over time-varying networks. J Guidance Control Dyn, 2013, 36: 499–516
- 8
Cichella V, Kaminer I, Dobrokhodov V, et al. Cooperative path following of multiple multirotors over time-varying networks. IEEE Trans Automat Sci Eng, 2015, 12: 945–957
- 9
Ren W, Beard R W. Distributed Consensus in Multi-vehicle Cooperative Control. Berlin: Springer, 2008
- 10
Li Z, Duan Z. Cooperative Control of Multi-Agent Systems: A Consensus Region Approach. Boca Raton: CRC Press, 2014
- 11
Wang X, Zeng Z, Cong Y. Multi-agent distributed coordination control: developments and directions via graph viewpoint. Neurocomputing, 2016, 199: 204–218
- 12
Liu J W, Huang J. Leader-following consensus of linear discrete-time multi-agent systems subject to jointly connected switching networks. Sci China Inf Sci, 2018, 61: 112208
- 13
Ma L F, Wang Z D, Han Q-L, et al. Consensus control of stochastic multi-agent systems: a survey. Sci China Inf Sci, 2017, 60: 120201
- 14
Zhou J L, Yang J Y, Li Z K. Simultaneous attack of a stationary target using multiple missiles: a consensus-based approach. Sci China Inf Sci, 2017, 60: 070205
- 15
Wang X, Yadav V, Balakrishnan S. Cooperative uavformation flying with obstacle/collision avoidance. IEEE Trans Contr Syst Technol, 2007, 15: 672–679
- 16
Abdessameud A, Tayebi A. Formation control of vtolunmanned aerial vehicles with communication delays. Automatica, 2011, 47: 2383–2394
- 17
Liao F, Teo R, Wang J L, et al. Distributed formation and reconfiguration control of vtoluavs. IEEE Trans Contr Syst Technol, 2017, 25: 270–277
- 18
Zou Y, Zhou Z, Dong X, et al. Distributed formation control for multiple vertical takeoff and landing uavs with switching topologies. IEEE/ASME Trans Mechatron, 2018, 23: 1750–1761
- 19
Nigam N, Bieniawski S, Kroo I, et al. Control of multiple uavs for persistent surveillance: algorithm and flight test results. IEEE Trans Contr Syst Technol, 2012, 20: 1236–1251
- 20
Kushleyev A, Mellinger D, Powers C, et al. Towards a swarm of agile micro quadrotors. Auton Robot, 2013, 35: 287–300
- 21
Dong X, Zhou Y, Ren Z, et al. Time-varying formation control for unmanned aerial vehicles with switching interaction topologies. Control Eng Practice, 2016, 46: 26–36
- 22
Dong X, Zhou Y, Ren Z, et al. Time-varying formation tracking for second-order multi-agent systems subjected to switching topologies with application to quadrotor formation flying. IEEE Trans Ind Electron, 2017, 64: 5014–5024
- 23
Dydek Z T, Annaswamy A M, Lavretsky E. Adaptive configuration control of multiple uavs. Control Eng Practice, 2013, 21: 1043–1052
- 24
Liu H, Dong X, Lewis F L, et al. Robust formation control for multiple quadrotors subject to nonlinear dynamics and disturbances. In: Proceedings of the 14th IEEE International Conference on Control and Automation. New York: IEEE, 2018. 58–62
- 25
Xargay E, Dobrokhodov V, Kaminer I, et al. Time-critical cooperative control of multiple autonomous vehicles: Robust distributed strategies for path-following control and time-coordination over dynamic communications networks. IEEE Control Syst, 2012, 32: 49–73
- 26
Bayraktar S, Fainekos G E, Pappas G J. Experimental cooperative control of fixed-wing unmanned aerial vehicles. In: Proceedings of the 43rd IEEE Conference on Decision and Control. New York: IEEE, 2004. 4292–4298
- 27
Reynolds C W. Flocks, herds and schools: a distributed behavioral model. SIGGRAPH Comput Graph, 1987, 21: 25–34
- 28
Hauert S, Leven S, Varga M, et al. Reynolds flocking in reality with fixed-wing robots: communication range vs. maximum turning rate. In: Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. New York: IEEE, 2011. 5015–5020
- 29
Chung T H, Clement M R, Day M A, et al. Live-fly, large-scale field experimentation for large numbers of fixed-wing UAVs. In: Proceedings of 2016 IEEE International Conference on Robotics and Automation. New York: IEEE, 2016. 1255–1262
- 30
Lan Y, Yan G, Lin Z. Synthesis of distributed control of coordinated path following based on hybrid approach. IEEE Trans Automat Contr, 2011, 56: 1170–1175
- 31
Chen H, Cong Y R, Wang X K, et al. Coordinated path following control of fixed-wing unmanned aerial vehicles. 2019. ArXiv: 1906.05453
- 32
Kothari M, Postlethwaite I. A probabilistically robust path planning algorithm for UAVs using rapidly-exploring random trees. J Intell Robot Syst, 2013, 71: 231–253
- 33
Wu J C, Zhou R, Dong Z N, et al. Formation flight control method of multiple UAVs based on guidance route (in Chinese). J Beijing Univ Aeronaut Astronaut, 2016, 42: 1518–1525
Acknowledgements
This work was partly supported by National Natural Science Foundation of China (Grant No. 61801494), and Joint Fund of Ministry of Education of China for Equipment Pre-research and Beijing Nova Program (Grant No. 2018047). The authors express their deepest gratitude to the SWARM TEAM of the NUDT. Without their hard work, the flight experiments could not be done.
Author information
Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Wang, X., Shen, L., Liu, Z. et al. Coordinated flight control of miniature fixed-wing UAV swarms: methods and experiments. Sci. China Inf. Sci. 62, 212204 (2019). https://doi.org/10.1007/s11432-018-9887-5
Received:
Revised:
Accepted:
Published:
Keywords
- unmanned aerial vehicle
- cooperative control
- formation control
- distributed control
- multiagent system