Literature DB >> 26382437

Wing-pitch modulation in maneuvering fruit flies is explained by an interplay between aerodynamics and a torsional spring.

Tsevi Beatus1, Itai Cohen1.   

Abstract

While the wing kinematics of many flapping insects have been well characterized, understanding the underlying sensory, neural, and physiological mechanisms that determine these kinematics is still a challenge. Two main difficulties in understanding the physiological mechanisms arise from the complexity of the interaction between a flapping wing and its own unsteady flow, as well as the intricate mechanics of the insect wing hinge, which is among the most complicated joints in the animal kingdom. These difficulties call for the application of reduced-order approaches. Here this strategy is used to model the torques exerted by the wing hinge along the wing-pitch axis of maneuvering fruit flies as a damped torsional spring with elastic and damping coefficients as well as a rest angle. Furthermore, we model the air flows using simplified quasistatic aerodynamics. Our findings suggest that flies take advantage of the passive coupling between aerodynamics and the damped torsional spring to indirectly control their wing-pitch kinematics by modulating the spring parameters. The damped torsional-spring model explains the changes measured in wing-pitch kinematics during roll correction maneuvers through modulation of the spring damping and elastic coefficients. These results, in conjunction with the previous literature, indicate that flies can accurately control their wing-pitch kinematics on a sub-wing-beat time scale by modulating all three effective spring parameters on longer time scales.

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Year:  2015        PMID: 26382437     DOI: 10.1103/PhysRevE.92.022712

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  7 in total

Review 1.  Aerodynamics, sensing and control of insect-scale flapping-wing flight.

Authors:  Wei Shyy; Chang-Kwon Kang; Pakpong Chirarattananon; Sridhar Ravi; Hao Liu
Journal:  Proc Math Phys Eng Sci       Date:  2016-02       Impact factor: 2.704

2.  Scaling of the performance of insect-inspired passive-pitching flapping wings.

Authors:  Kit Sum Wu; Jerome Nowak; Kenneth S Breuer
Journal:  J R Soc Interface       Date:  2019-12-18       Impact factor: 4.118

3.  Abdominal Movements in Insect Flight Reshape the Role of Non-Aerodynamic Structures for Flight Maneuverability I: Model Predictive Control for Flower Tracking.

Authors:  Jorge Bustamante; Mahad Ahmed; Tanvi Deora; Brian Fabien; Thomas L Daniel
Journal:  Integr Org Biol       Date:  2022-09-16

4.  Pruning deep neural networks generates a sparse, bio-inspired nonlinear controller for insect flight.

Authors:  Olivia Zahn; Jorge Bustamante; Callin Switzer; Thomas L Daniel; J Nathan Kutz
Journal:  PLoS Comput Biol       Date:  2022-09-27       Impact factor: 4.779

5.  The hawkmoth wingbeat is not at resonance.

Authors:  Jeff Gau; Ethan S Wold; James Lynch; Nick Gravish; Simon Sponberg
Journal:  Biol Lett       Date:  2022-05-25       Impact factor: 3.812

6.  Distinct forms of resonant optimality within insect indirect flight motors.

Authors:  Arion Pons; Tsevi Beatus
Journal:  J R Soc Interface       Date:  2022-05-18       Impact factor: 4.293

7.  Generation of the pitch moment during the controlled flight after takeoff of fruitflies.

Authors:  Mao Wei Chen; Jiang Hao Wu; Mao Sun
Journal:  PLoS One       Date:  2017-03-15       Impact factor: 3.240

  7 in total

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