Forecasting the State of Charging Batteries on Board the UAV on the Basis of Neuro-Fuzzy Network Using

Komarchuk, Dmytro; Opryshko, Oleksiy; Шворов, С.; Reshetiuk, Volodymyr; Pasichnyk, Natalia; Lendiel, Taras

doi:10.1109/apuavd53804.2021.9615413

Cited by 5 publications

(1 citation statement)

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“…The disadvantages of the development include the fact that the described robot is on rails, which was suitable for the greenhouse and premises but is not suitable for horticulture. The researchers D. Komarchuk et al [43,44] describe drone navigation in an industrial greenhouse. The authors solved the problem of planning the UAV flight trajectory in a complex conflict situation.…”

Section: Literature Reviewmentioning

confidence: 99%

Laser Rangefinder Methods: Autonomous-Vehicle Trajectory Control in Horticultural Plantings

Kutyrev,

Kiktev,

Smirnov

2024

Sensors

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This article presents a developed motion control system for a robotic platform based on laser-ranging methods, a graph traversal algorithm and the search for the optimal path. The algorithm was implemented in an agricultural building and in the field. As a result, the most efficient algorithm for finding the optimal path (A*) for the robotic platform was chosen when performing various technological operations. In the Rviz visualization environment, a program code was developed for planning the movement path and setting the points of the movement trajectory in real time. To find the optimal navigation graph in an artificial garden, an application was developed using the C# programming language and Visual Studio 2019. The results of the experiments showed that field conditions can differ significantly from laboratory conditions, while the positioning accuracy is significantly lower. The statistical processing of the experimental data showed that, for the movement of a robotic platform along a given trajectory in the field, the most effective conditions are as follows: speed: 2.5 km/h; illumination: 109,600 lux; distance to the tree: 0.5 m. An analysis of the operating parameters of the LiDAR sensor showed that it provides a high degree of positioning accuracy under various lighting conditions at various speeds in the aisles of a garden 3 m wide with an inter-stem distance of 1.5 m and a tree crown width of 0.5 m. The use of sensors—rangefinders of the optical range—allows for the performance of positional movements of the robotic platform and ensures the autonomous performance of the basic technological operations of the units in intensive gardens with a deviation from the specified trajectory of no more than 8.4 cm, which meets the agrotechnical requirements.

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Section: Literature Reviewmentioning

confidence: 99%