Literature DB >> 18165253

New experimental approaches to the biology of flight control systems.

Graham K Taylor1, Marko Bacic, Richard J Bomphrey, Anna C Carruthers, James Gillies, Simon M Walker, Adrian L R Thomas.   

Abstract

Here we consider how new experimental approaches in biomechanics can be used to attain a systems-level understanding of the dynamics of animal flight control. Our aim in this paper is not to provide detailed results and analysis, but rather to tackle several conceptual and methodological issues that have stood in the way of experimentalists in achieving this goal, and to offer tools for overcoming these. We begin by discussing the interplay between analytical and empirical methods, emphasizing that the structure of the models we use to analyse flight control dictates the empirical measurements we must make in order to parameterize them. We then provide a conceptual overview of tethered-flight paradigms, comparing classical ;open-loop' and ;closed-loop' setups, and describe a flight simulator that we have recently developed for making flight dynamics measurements on tethered insects. Next, we provide a conceptual overview of free-flight paradigms, focusing on the need to use system identification techniques in order to analyse the data they provide, and describe two new techniques that we have developed for making flight dynamics measurements on freely flying birds. First, we describe a technique for obtaining inertial measurements of the orientation, angular velocity and acceleration of a steppe eagle Aquila nipalensis in wide-ranging free flight, together with synchronized measurements of wing and tail kinematics using onboard instrumentation and video cameras. Second, we describe a photogrammetric method to measure the 3D wing kinematics of the eagle during take-off and landing. In each case, we provide demonstration data to illustrate the kinds of information available from each method. We conclude by discussing the prospects for systems-level analyses of flight control using these techniques and others like them.

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Year:  2008        PMID: 18165253     DOI: 10.1242/jeb.012625

Source DB:  PubMed          Journal:  J Exp Biol        ISSN: 0022-0949            Impact factor:   3.312


  13 in total

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Journal:  J R Soc Interface       Date:  2011-12-21       Impact factor: 4.118

2.  Behavioural system identification of visual flight speed control in Drosophila melanogaster.

Authors:  Nicola Rohrseitz; Steven N Fry
Journal:  J R Soc Interface       Date:  2010-06-04       Impact factor: 4.118

3.  Insect and insect-inspired aerodynamics: unsteadiness, structural mechanics and flight control.

Authors:  Richard J Bomphrey; Ramiro Godoy-Diana
Journal:  Curr Opin Insect Sci       Date:  2018-08-24       Impact factor: 5.186

4.  Vision-based flight control in the hawkmoth Hyles lineata.

Authors:  Shane P Windsor; Richard J Bomphrey; Graham K Taylor
Journal:  J R Soc Interface       Date:  2013-12-11       Impact factor: 4.118

5.  A fast and flexible panoramic virtual reality system for behavioural and electrophysiological experiments.

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Journal:  Sci Rep       Date:  2012-03-22       Impact factor: 4.379

6.  Interpretation of body-mounted accelerometry in flying animals and estimation of biomechanical power.

Authors:  R J Spivey; C M Bishop
Journal:  J R Soc Interface       Date:  2013-07-24       Impact factor: 4.118

7.  Multiple leading edge vortices of unexpected strength in freely flying hawkmoth.

Authors:  L Christoffer Johansson; Sophia Engel; Almut Kelber; Marco Klein Heerenbrink; Anders Hedenström
Journal:  Sci Rep       Date:  2013-11-20       Impact factor: 4.379

8.  Proprioceptive feedback determines visuomotor gain in Drosophila.

Authors:  Jan Bartussek; Fritz-Olaf Lehmann
Journal:  R Soc Open Sci       Date:  2016-01-13       Impact factor: 2.963

9.  How insect flight steering muscles work.

Authors:  Anders Hedenström
Journal:  PLoS Biol       Date:  2014-03-25       Impact factor: 8.029

10.  Markerless 3D motion capture for animal locomotion studies.

Authors:  William Irvin Sellers; Eishi Hirasaki
Journal:  Biol Open       Date:  2014-06-27       Impact factor: 2.422

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