E3S Web Conf.
Volume 19, 2017International Conference Energy, Environment and Material Systems (EEMS 2017)
|Number of page(s)||4|
|Published online||23 October 2017|
Online identification of wind model for improving quadcopter trajectory monitoring
Opole University of Technology, Prószkowska Street 76, 45- 758 Opole, Poland,
⁎ Corresponding author: firstname.lastname@example.org
In this paper, we consider a problem of quadcopter control in severe weather conditions. One type of such weather conditions is a strong variable wind. In this paper, we ponder deterministic and stochastic models of winds at low altitudes with the quadcopter performing aggressive maneuvers. We choose an adaptive algorithm as our control algorithm. This algorithm might seem suitable one to solve the given problem, as it is able to adjust quickly to changing conditions. However, as shown in the paper, this algorithm is not applicable to rapidly changing winds and requires additional filters to smooth the impulse streams, so as not to lose the stability of the object.
© The authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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