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Design and Implementation of Ground Station Software for UAV Swarm Considering Geo Fence

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Advances in Guidance, Navigation and Control

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 644))

Abstract

With the increasing development of unmanned air vehicle (UAV) technology, the scale of UAV swarm becomes larger, which leads to a series of severe security problems such as unregistered flight and flying without order. In the light of the reality in swarm flight test, ground station software of UAV swarm is designed based on stay-in and stay-out geo fence. The main functions include data receiving and sending, mission planning and simulation, online monitoring and display, manipulation and emergency handling, and data collection and playback, etc. According to application scenarios, the model of geo fence uses common circle, rectangle and polygon model. If UAV approaches the geo fence boundary, it will react according to the three pre-made schemes proposed in this paper in order to avoid collision. The effectiveness of the ground station software is proved by a flight test in which 5 UAVs completed fire detection mission and threw water bombs autonomously.

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References

  1. Zhang, Y., Si, G.Y., Wang, Y.Z.: Modeling of cooperative target allocation of the UAV swarm cyberspace attack action. Syst. Eng. Electron. 41(9), 2025–2033 (2019)

    Google Scholar 

  2. Wei, Y., Blake, M.B., Madey, G.R.: An operation-time simulation framework for UAV swarm configuration and mission planning. Procedia Comput. Sci. 18, 1949–1958 (2013)

    Article  Google Scholar 

  3. Dentler, J., Rosalie, M., Grégoire, D.: Collision avoidance effects on the mobility of a UAV swarm using chaotic ant colony with model predictive control. J. Intell. Robot. Syst. Theory Appl. 93, 227–243 (2019)

    Article  Google Scholar 

  4. Adi, S.P., Fatwa, R.: Software testing by standard software metrics method; study case “mission planner” as UAV ground station software. J. Telecommun. Electron. Comput. Eng. 10, 123–128 (2018)

    Google Scholar 

  5. Wu, Y.W., Yu, J.Y., Chen, R.P., Yan, B.F.: Research development of unmanned aerial vehicle-based oblique photogrammetry and its engineering applications. J. Hunan Univ. (Nat. Sci.) 45(S0), 167–172 (2018)

    Google Scholar 

  6. Sarah, D.S., Abe, I., Ben, N., Hashmatullah, H.: Feasibility of varying geo-fence around an unmanned aircraft operation based on vehicle performance and wind. In: 2016 IEEE/AIAA 35th Digital Avionics Systems Conference, pp. 1–10. IEEE, Sacramento, CA, USA (2016)

    Google Scholar 

  7. Mia, S., Brandon, C., Ella, M.A.: Platform-independent geofencing for low altitude UAS operations. In: 15th Aviation Technology Integration, and Operations Conference, pp. 1–17. AIAA, At Dallas, TX, USA (2015)

    Google Scholar 

  8. Thomas, G., Laurent, C.: Towards a generic and modular geofencing strategy for civilian UAVs. In: 2016 International Conference on Unmanned Aircraft Systems, pp. 540–549. Arlington, VA, USA (2016)

    Google Scholar 

  9. Yang, Z., Zheng, L.H., Li, M.Z., Sun, H., Yang, W.: Design of electronic fence of UAV for plant protection assignment based on ray method. Trans. Chinese Soc. Agricult. Machinery 47(s1), 442–448 (2016)

    Google Scholar 

  10. Fu, Q.X., Liang, X.L., Zhang, J.Q., He, L.L., Zhou, W.Y.: Design and implementation of autonomous flight unmanned aircraft system geo fence algorithm. J. Xi’an Jiaotong Univ. 53(5), 173–181 (2019)

    Google Scholar 

  11. Dill, E.T., Young, S.D, Hayhurst, K.J.: SAFEGUARD: an assured safety net technology for UAS. In: 2016 IEEE/AIAA 35th Digital Avionics Systems Conference, pp. 1–10. IEEE, Sacramento, CA, USA (2016)

    Google Scholar 

  12. Narkawicz, A., Hagen, G.: Algorithms for collision detection between a point and a moving polygon, with applications to aircraft weather avoidance. In: 16th AIAA Aviation Technology, Integration, and Operations Conference, pp. 1–11. AIAA, Washington, DC (2016)

    Google Scholar 

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Acknowledgements

This research was financially supported by the National Natural Science Foundation of China under grant 61703427.

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Correspondence to Duo Qi .

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Qi, D., Liang, Xl., Li, Z., Zhang, Jq., Lei, Pf., Zhou, Yz. (2022). Design and Implementation of Ground Station Software for UAV Swarm Considering Geo Fence. In: Yan, L., Duan, H., Yu, X. (eds) Advances in Guidance, Navigation and Control . Lecture Notes in Electrical Engineering, vol 644. Springer, Singapore. https://doi.org/10.1007/978-981-15-8155-7_30

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