Literature DB >> 18037730

Artificial evolution of the morphology and kinematics in a flapping-wing mini-UAV.

E de Margerie1, J B Mouret, S Doncieux, J-A Meyer.   

Abstract

Birds demonstrate that flapping-wing flight (FWF) is a versatile flight mode, compatible with hovering, forward flight and gliding to save energy. This extended flight domain would be especially useful on mini-UAVs. However, design is challenging because aerodynamic efficiency is conditioned by complex movements of the wings, and because many interactions exist between morphological (wing area, aspect ratio) and kinematic parameters (flapping frequency, stroke amplitude, wing unfolding). Here we used artificial evolution to optimize these morpho-kinematic features on a simulated 1 kg UAV, equipped with wings articulated at the shoulder and wrist. Flight tests were conducted in a dedicated steady aerodynamics simulator. Parameters generating horizontal flight for minimal mechanical power were retained. Results showed that flight at medium speed (10-12 m s(-1)) can be obtained for reasonable mechanical power (20 W kg(-1)), while flight at higher speed (16-20 m s(-1)) implied increased power (30-50 W kg(-1)). Flight at low speed (6-8 m s(-1)) necessitated unrealistic power levels (70-500 W kg(-1)), probably because our simulator neglected unsteady aerodynamics. The underlying adaptation of morphology and kinematics to varying flight speed were compared to available biological data on the flight of birds.

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Year:  2007        PMID: 18037730     DOI: 10.1088/1748-3182/2/4/002

Source DB:  PubMed          Journal:  Bioinspir Biomim        ISSN: 1748-3182            Impact factor:   2.956


  3 in total

1.  Variants of guided self-organization for robot control.

Authors:  Georg Martius; J Michael Herrmann
Journal:  Theory Biosci       Date:  2011-11-25       Impact factor: 1.919

2.  Predicting power-optimal kinematics of avian wings.

Authors:  Ben Parslew
Journal:  J R Soc Interface       Date:  2015-01-06       Impact factor: 4.118

3.  Advantages of Task-Specific Multi-Objective Optimisation in Evolutionary Robotics.

Authors:  Vito Trianni; Manuel López-Ibáñez
Journal:  PLoS One       Date:  2015-08-21       Impact factor: 3.240

  3 in total

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