Abstract
The applications of UAVs (unmanned aerial vehicles) have been increasing and becoming part of many daily tasks in numerous organizations. As matter of fact, the use of a UAV does not mean the decreasing of operational complexities and, consequently, the costs of performing its tasks. Sometimes, this high cost is related to the dependence of well-trained operators and huge remote control facilities to operate a sophisticated UAV. This work proposes an UAV that can perform its tasks as much independent of human interaction as possible, and with a minimum connection to its mission control facilities. This independence will be achieved by embedding the mission control into the UAV. As the mission control is embedded, the UAV will have less connection issues with its control center and will be less dependable of human interaction. To prove this concept, the kinematics and dynamics of a light air vehicle (blimp) were developed; a prototype of an embedded parallel-distributed computer was constructed; and new procedures to resolve navigations and collision evasions issues were proposed. The new evasion procedures were implemented into a simulator and a new parallel/distributed program for optimal path discover was developed to be used in the cluster prototype. All tests of the evasion procedures simulator were satisfactory and the speed up tests using the embedded cluster showed the best performance of the proposed framework.
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Ribeiro, C.G., Raptopoulos, L.C. & Dutra, M.S. A platform for autonomous path control of unmanned airship. J Braz. Soc. Mech. Sci. Eng. 39, 4735–4747 (2017). https://doi.org/10.1007/s40430-017-0891-9
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DOI: https://doi.org/10.1007/s40430-017-0891-9