Abstract
This work presents the construction and control of an autonomous quadcopter for applications of agriculture monitoring. Mainly the navigation system is based on a Field Programmable Gate Array, FPGA, Stabilization Target and a Global Positioning System, GPS, to solve different motion problems of a mobile robot. Also, this paper shows the development of a Human Machine Interface, HMI, between the ground station and the quadcopter. The HMI allows interaction both for simulation and/or experimentally of agricultural monitoring applications through control strategies tele-operated and autonomous flight. Finally, the performance of the proposed controller is shown through real experiments.
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The authors thank to the Universidad de las Fuerzas Armadas ESPE–L and to the Universidad Técnica de Ambato, for the support to develop this work.
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Andaluz, V.H. et al. (2015). Nonlinear Controller of Quadcopters for Agricultural Monitoring. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2015. Lecture Notes in Computer Science(), vol 9474. Springer, Cham. https://doi.org/10.1007/978-3-319-27857-5_43
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DOI: https://doi.org/10.1007/978-3-319-27857-5_43
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