Abstract
To achieve the experimental verification of our previous formation control algorithm, a formation flight platform based on quad-rotor unmanned aerial vehicles (UAVs) is designed with multi-process communication. A so-called Mission Planner, that is, an open-source UAV ground station program, is redesigned for leader-following formation flying. The experiments without horizontal rotation and with a virtual ground leader are discussed in details.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Na, H.J., Yoo, S.: PSO-based dynamic UAV positioning algorithm for sensing information acquisition in wireless sensor networks. IEEE Access 7, 77499–77513 (2019)
Yang, L., Yao, H., Wang, J., Jiang, C., Benslimane, A., Liu, Y.: Multi-UAV-enabled load-balance mobile-edge computing for IoT networks. IEEE Internet Things J. 7(8), 6898–6908 (2020)
Wang, Q., Dai, H., Wang, Q., Shukla, M.K., Zhang, W., Soares, C.G.: On connectivity of UAV-assisted data acquisition for underwater Internet of Things. IEEE Internet Things J. 7(6), 5371–5385 (2020)
Cao, H., Yao, H., Cheng, H., Lian, S.: A solution for data collection of large-scale outdoor Internet of Things based on UAV and dynamic clustering. In: 2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC), pp. 2133–2136 (2020)
Yi, M., Wang, X., Liu, J., Zhang, Y., Bai, B.: Deep reinforcement learning for fresh data collection in UAV-assisted IoT networks. In: IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pp. 716–721 (2020)
Jia, Z., Qin, X., Wang, Z., Liu, B.: Age-based path planning and data acquisition in UAV-assisted IoT networks. In: 2019 IEEE International Conference on Communications Workshops (ICC Workshops), pp. 1–6 (2019)
Ye, H., Kang, X., Joung, J., Liang, Y.: Optimization for full-duplex rotary-wing UAV-enabled wireless-powered IoT networks. IEEE Trans. Wirel. Communi. 19(7), 5057–5072 (2020)
Yu, T., Wang, X., Shami, A.: UAV-enabled spatial data sampling in large-scale IoT systems using denoising autoencoder neural network. IEEE Internet Things J. 6(2), 1856–1865 (2019)
Tian, G., Zhang, L., Bai, X., Wang, B.: Real-time dynamic track planning of multi-UAV formation based on improved artificial bee colony algorithm. In: 2018 37th Chinese Control Conference (CCC), pp. 10055–10060 (2018)
Bian, L., Sun, W., Sun, T.: Trajectory following and improved differential evolution solution for rapid forming of UAV formation. IEEE Access 7, 169599–169613 (2019)
Kada, B., Khalid, M., Shaikh, M.S.: Distributed cooperative control of autonomous multi-agent UAV systems using smooth control. J. Syst. Eng. Electron. 31(6), 1297–1307 (2020)
Hentati, A.I., Krichen, L., Fourati, M., Fourati, L.C.: Simulation tools, environments and frameworks for UAV systems performance analysis. In: 2018 14th International Wireless Communications & Mobile Computing Conference (IWCMC), pp. 1495–1500 (2018)
del Arco, J.C., Alejo, D., Arrue, B.C., Cobano, J.A., Heredia, G., Ollero, A.: Multi-UAV ground control station for gliding aircraft. In: 2015 23rd Mediterranean Conference on Control and Automation (MED), pp. 36–43 (2015)
Aljehani, M., Inoue, M.: A swarm of computational clouds as multiple ground control stations of multi-UAV. In: 2017 IEEE 6th Global Conference on Consumer Electronics (GCCE), pp. 1–2 (2017)
Han, B., Hu, C., Zhou, Y.: The ground station design for swarm unmanned aerial vehicle control. In: 2019 Chinese Control Conference (CCC), pp. 8248–8253 (2019)
Sun, Y., Li, L., Xue, K., Li, X., Liang, W., Han, Z.: Inhomogeneous multi-UAV aerial base stations deployment: a mean-field-type game approach. In: 2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC), pp. 1204–1208 (2019)
Jia, Q.Y., Wang, L.: Leader-follower flocking of multiple robotic fish. IEEE/ASME Trans. Mechatron. 20(3), 1372–1383 (2015)
Gu, D., Wang, Z.: Leader-follower flocking: algorithms and experiments. IEEE Trans. Control Syst. Technol. 17(5), 1211–1219 (2009)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Zhang, H., Chen, YY. (2022). Quad-Rotor UAVs Experiments for Formation Flight. In: Jia, Y., Zhang, W., Fu, Y., Yu, Z., Zheng, S. (eds) Proceedings of 2021 Chinese Intelligent Systems Conference. Lecture Notes in Electrical Engineering, vol 805. Springer, Singapore. https://doi.org/10.1007/978-981-16-6320-8_8
Download citation
DOI: https://doi.org/10.1007/978-981-16-6320-8_8
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-6319-2
Online ISBN: 978-981-16-6320-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)