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Multirotor Estimation of Wind

Project description

Acoustic wind sensors for multirotor estimation technology

In the past decade, drones have been used for challenging tasks such as inspection and maintenance. However, their susceptibility to unpredictable wind forces hinders their widespread adoption. With the support of Marie Skłodowska-Curie Actions programme, the MEW project seeks to integrate acoustic wind sensors into a sophisticated and mathematically robust estimation framework. The project’s goal is to develop novel algorithms for accurately estimating wind forces. Real-world testing will facilitate the creation of software implementations poised for adoption by industry. The project’s outcomes will pave the way for new applications of multirotor technology and innovative approaches to wind dynamics estimation.

Objective

In the last decade both remotely-piloted and autonomous multirotor aerial systems have been employed for a wide range of challenging tasks, including visual inspection and physical maintenance, that were previously either dangerous or impractical. Wide-spread adoption is, however, hindered by the sensitivity of existing systems to unpredictable disturbances caused by wind forces that they are not able to estimate and hence mitigate. With funding provided by Marie Skłodowska-Curie Actions programme, the MEW project seeks to use recently developed acoustic wind sensors in a sophisticated and mathematically sound estimation framework. Researchers will design entirely new algorithms for the estimation of wind forces so that they may be compensated for by the multirotor flight control system. Real-world tests and experiments will demonstrate the soundness of the research and lead to software implementations that are ready to be adopted by industry. The results of the MEW project will lead to a new wave of application domains for multirotor technology, and will create new approaches to estimating wind dynamics that may extend to other engineering and scientific questions around fluid dynamics.

Coordinator

UNIVERSITEIT TWENTE
Net EU contribution
€ 187 624,32
Address
DRIENERLOLAAN 5
7522 NB Enschede
Netherlands

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Region
Oost-Nederland Overijssel Twente
Activity type
Higher or Secondary Education Establishments
Links
Total cost
No data