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  • 标题:Online identification of wind model for improving quadcopter trajectory monitoring
  • 本地全文:下载
  • 作者:Ryszard Beniak ; Oleksandr Gudzenko
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2017
  • 卷号:19
  • 页码:1-4
  • DOI:10.1051/e3sconf/20171901028
  • 出版社:EDP Sciences
  • 摘要: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.
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