This paper presents a computationally efficient wind estimation method which can be run onboard a miniature Unmanned Aerial Vehicle. Estimated wind can be used to calculate parachute deploy position during automated parachute landing phase. The method involves flying in an orbit at drop zone for one round. We formulate wind estimation problem into a linear least square minimization problem. Structure of the problem allows all calculations to be done onboard a microcontroller. Simulation and flight test results are also discussed.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A minimalistic wind estimation method for small unmanned aircraft


    Contributors:


    Publication date :

    2016-01-01


    Size :

    1371521 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Covariance Analysis of Sensors for Wind Field Estimation by Small Unmanned Aircraft

    Elston, Jack S. / Argrow, Brian / Stachura, Maciej | AIAA | 2015


    SMALL UNMANNED AIRCRAFT

    JOHAN FUMIAKI | European Patent Office | 2022

    Free access

    Onboard Wind Velocity Estimation Comparison for Unmanned Aircraft Systems

    Rhudy, Matthew B. / Yu Gu / Gross, Jason N. et al. | IEEE | 2017


    Stochastic Wind Modeling and Estimation for Unmanned Aircraft Systems

    Rhudy, Matthew B. / Gross, Jason N. / Gu, Yu | AIAA | 2019


    Minimalistic vision-based cognitive SLAM

    Saleiro, Mário / Rodrigues, J. M. F. / du Buf, J. M. H. | BASE | 2012

    Free access