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A Trajectory Planning and Control System for Quadrotor Unmanned Aerial Vehicle in Field Inspection Missions

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Intelligent Robotics and Applications (ICIRA 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10464))

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Abstract

In this work, a trajectory planning and control system designed for quadrotor unmanned aerial vehicles (UAVs) in automatic field inspection missions is presented. This system controls the UAV by two steps. First, a ground station laptop generates a complete coverage flight path regarding the specific working field. Subsequently, an onboard computer controls the UAV in real-time with position, velocity and acceleration setpoints calculated by a trajectory planning algorithm. The algorithm considers both the dynamic property of quadrotor UAVs and the acceleration and velocity limitations in real working condition. UAV controlled by this system performs a rapid and stable flight in windy environment and can be widely utilised in various domains.

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References

  1. Luque-Vega, L.F., Castillo-Toledo, B., Loukianov, A., Gonzalez-Jimenez, L.E.: Power line inspection via an unmanned aerial system based on the quadrotor helicopter. In: Mediterranean Electrotechnical Conference, pp. 393–397 (2014)

    Google Scholar 

  2. Chen, J., Wu, J., Chen, G., Dong, W., Sheng, X.: Design and development of a multi-rotor unmanned aerial vehicle system for bridge inspection. In: Kubota, N., Kiguchi, K., Liu, H., Obo, T. (eds.) ICIRA 2016. LNCS (LNAI), vol. 9834, pp. 498–510. Springer, Cham (2016). doi:10.1007/978-3-319-43506-0_44

    Chapter  Google Scholar 

  3. Matsuoka, R., Nagusa, I., Yasuhara, H., Mori, M., Katayama, T., Yachi, N., Hasui, A., Katakuse, M., Atagi, T.: Measurement of large-scale solar power plant by using images acquired by non-metric digital camera on board uav. ISPRS - Int. Arch. Photogram., Remote Sens. Spat. Inf. Sci. 39, 435–440 (2012)

    Article  Google Scholar 

  4. Tabanlioglu, A., Yucedag, A.C., Tuysuz, M.F., Tenekeci, M.E.: Multicopter usage for analysis productivity in agriculture on gap region. In: Signal Processing and Communications Applications Conference, pp. 1102–1105 (2015)

    Google Scholar 

  5. Malveaux, C., Hall, S.G., Price, R.: Using drones in agriculture: unmanned aerial systems for agricultural remote sensing applications. In: 2014 Montreal, Quebec Canada, 13 July–16 July 2014, p. 1. American Society of Agricultural and Biological Engineers (2014)

    Google Scholar 

  6. Bizin, I., Vlasov, V., Demidov, A., Kanatnikov, N.: The use of multicopters for traffic monitoring in dense urban areas. In: Proceedings of the 2014 Conference on Electronic Governance and Open Society: Challenges in Eurasia, pp. 42–44. ACM (2014)

    Google Scholar 

  7. Baker, R.E.: Combining micro technologies and unmanned systems to support public safety and homeland security. J. Civil Eng. Archit. 6(10), 1399 (2012)

    Google Scholar 

  8. De Carvalho, R.N., Vidal, H., Vieira, P., Ribeiro, M.: Complete coverage path planning and guidance for cleaning robots. In: 1997 Proceedings of the IEEE International Symposium on Industrial Electronics, ISIE 1997, vol. 2, pp. 677–682. IEEE (1997)

    Google Scholar 

  9. Zuo, G., Zhang, P., Qiao, J.: Path planning algorithm based on sub-region for agricultural robot. In: 2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics (CAR), vol. 2, pp. 197–200. IEEE (2010)

    Google Scholar 

  10. Valente, J., Sanz, D., Del Cerro, J., Barrientos, A., de Frutos, M.Á.: Near-optimal coverage trajectories for image mosaicing using a mini quad-rotor over irregular-shaped fields. Precision Agric. 14(1), 115–132 (2013)

    Article  Google Scholar 

  11. Di Franco, C., Buttazzo, G.: Energy-aware coverage path planning of UAVs. In: 2015 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), pp. 111–117. IEEE (2015)

    Google Scholar 

  12. Bouktir, Y., Haddad, M., Chettibi, T.: Trajectory planning for a quadrotor helicopter. In: 2008 16th Mediterranean Conference on Control and Automation, pp. 1258–1263. IEEE (2008)

    Google Scholar 

  13. Mueller, M.W., Hehn, M., D’Andrea, R.: A computationally efficient algorithm for state-to-state quadrocopter trajectory generation and feasibility verification. In: 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 3480–3486. IEEE (2013)

    Google Scholar 

  14. Meier, L., Honegger, D., Pollefeys, M.: PX4: a node-based multithreaded open source robotics framework for deeply embedded platforms. In: 2015 IEEE International Conference on Robotics and Automation (ICRA), pp. 6235–6240. IEEE (2015)

    Google Scholar 

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Correspondence to Xinjun Sheng .

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Chen, G., Wang, R., Dong, W., Sheng, X. (2017). A Trajectory Planning and Control System for Quadrotor Unmanned Aerial Vehicle in Field Inspection Missions. In: Huang, Y., Wu, H., Liu, H., Yin, Z. (eds) Intelligent Robotics and Applications. ICIRA 2017. Lecture Notes in Computer Science(), vol 10464. Springer, Cham. https://doi.org/10.1007/978-3-319-65298-6_50

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  • DOI: https://doi.org/10.1007/978-3-319-65298-6_50

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65297-9

  • Online ISBN: 978-3-319-65298-6

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