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http://dx.doi.org/10.5139/JKSAS.2013.41.6.465

Deploy Position Determination for Accurate Parachute Landing of a UAV  

Kim, Inhan (Department of Aerospace Engineering, Inha University)
Park, Sanghyuk (Department of Aerospace Engineering, Inha University)
Park, Woosung (Department of Aerospace Engineering, Inha University)
Ryoo, Chang-Kyung (Department of Aerospace Engineering, Inha University)
Publication Information
Journal of the Korean Society for Aeronautical & Space Sciences / v.41, no.6, 2013 , pp. 465-472 More about this Journal
Abstract
In this paper, we suggest how to determine the parachute deploy position for accurate landing of a UAV at a desired position. The 9-DOF dynamic modeling of UAV-parachute system is required to construct the proposed algorithm based on neural network nonlinear function approximation technique. The input and output data sets to train the neural network are obtained from simulation results using UAV-parachute 9-DOF model. The input data consist of the deploy position, UAV's velocity, and wind velocity. The output data consist of the cross range and down range of landing positions. So we predict the relative landing position from the current UAV position. The deploy position is then determined through distance compensations for the relative landing positions from the desired landing position. The deploy position is consistently calculated and updated.
Keywords
UAV(Unmanned Aerial Vehicle); Parachute; Parachute deploy; Parachute landing; Neural Network;
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