Global-local optimization of flapping kinematics in hovering flight

Mehdi Ghommem; M. R. Hajj; Dean T. Mook; Bret K. Stanford; Philip S. Béran; Layne T. Watson

doi:10.1260/1756-8293.5.2.109

Global-local optimization of flapping kinematics in hovering flight

Mehdi Ghommem, M. R. Hajj, Dean T. Mook, Bret K. Stanford, Philip S. Béran, Layne T. Watson

Computer, Electrical and Mathematical Sciences and Engineering

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

The kinematics of a hovering wing are optimized by combining the 2-d unsteady vortex lattice method with a hybrid of global and local optimization algorithms. The objective is to minimize the required aerodynamic power under a lift constraint. The hybrid optimization is used to efficiently navigate the complex design space due to wing-wake interference present in hovering aerodynamics. The flapping wing is chosen so that its chord length and flapping frequency match the morphological and flight properties of two insects with different masses. The results suggest that imposing a delay between the different oscillatory motions defining the flapping kinematics, and controlling the way through which the wing rotates at the end of each half stroke can improve aerodynamic power under a lift constraint. Furthermore, our optimization analysis identified optimal kinematics that agree fairly well with observed insect kinematics, as well as previously published numerical results.

Original language	English (US)
Pages (from-to)	109-126
Number of pages	18
Journal	International Journal of Micro Air Vehicles
Volume	5
Issue number	2
DOIs	https://doi.org/10.1260/1756-8293.5.2.109
State	Published - Jun 2013

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: Support of the Air Force Research Laboratory under Contract FA 8650-09-02-3938 is acknowledged. The authors are grateful to Prof. Svanberg who kindly supplied us the optimization package GCMMA, Prof. Nuhait who provided us the results reported in Figure 2, and finally H. Taha of Virginia Tech for his help in discussing the physics of the optimized hovering kinematics.

ASJC Scopus subject areas

Aerospace Engineering

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10.1260/1756-8293.5.2.109

Cite this

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title = "Global-local optimization of flapping kinematics in hovering flight",

abstract = "The kinematics of a hovering wing are optimized by combining the 2-d unsteady vortex lattice method with a hybrid of global and local optimization algorithms. The objective is to minimize the required aerodynamic power under a lift constraint. The hybrid optimization is used to efficiently navigate the complex design space due to wing-wake interference present in hovering aerodynamics. The flapping wing is chosen so that its chord length and flapping frequency match the morphological and flight properties of two insects with different masses. The results suggest that imposing a delay between the different oscillatory motions defining the flapping kinematics, and controlling the way through which the wing rotates at the end of each half stroke can improve aerodynamic power under a lift constraint. Furthermore, our optimization analysis identified optimal kinematics that agree fairly well with observed insect kinematics, as well as previously published numerical results.",

author = "Mehdi Ghommem and Hajj, {M. R.} and Mook, {Dean T.} and Stanford, {Bret K.} and B{\'e}ran, {Philip S.} and Watson, {Layne T.}",

note = "KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: Support of the Air Force Research Laboratory under Contract FA 8650-09-02-3938 is acknowledged. The authors are grateful to Prof. Svanberg who kindly supplied us the optimization package GCMMA, Prof. Nuhait who provided us the results reported in Figure 2, and finally H. Taha of Virginia Tech for his help in discussing the physics of the optimized hovering kinematics.",

year = "2013",

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doi = "10.1260/1756-8293.5.2.109",

language = "English (US)",

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AU - Ghommem, Mehdi

AU - Hajj, M. R.

AU - Mook, Dean T.

AU - Stanford, Bret K.

AU - Béran, Philip S.

AU - Watson, Layne T.

N1 - KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: Support of the Air Force Research Laboratory under Contract FA 8650-09-02-3938 is acknowledged. The authors are grateful to Prof. Svanberg who kindly supplied us the optimization package GCMMA, Prof. Nuhait who provided us the results reported in Figure 2, and finally H. Taha of Virginia Tech for his help in discussing the physics of the optimized hovering kinematics.

PY - 2013/6

Y1 - 2013/6

N2 - The kinematics of a hovering wing are optimized by combining the 2-d unsteady vortex lattice method with a hybrid of global and local optimization algorithms. The objective is to minimize the required aerodynamic power under a lift constraint. The hybrid optimization is used to efficiently navigate the complex design space due to wing-wake interference present in hovering aerodynamics. The flapping wing is chosen so that its chord length and flapping frequency match the morphological and flight properties of two insects with different masses. The results suggest that imposing a delay between the different oscillatory motions defining the flapping kinematics, and controlling the way through which the wing rotates at the end of each half stroke can improve aerodynamic power under a lift constraint. Furthermore, our optimization analysis identified optimal kinematics that agree fairly well with observed insect kinematics, as well as previously published numerical results.

AB - The kinematics of a hovering wing are optimized by combining the 2-d unsteady vortex lattice method with a hybrid of global and local optimization algorithms. The objective is to minimize the required aerodynamic power under a lift constraint. The hybrid optimization is used to efficiently navigate the complex design space due to wing-wake interference present in hovering aerodynamics. The flapping wing is chosen so that its chord length and flapping frequency match the morphological and flight properties of two insects with different masses. The results suggest that imposing a delay between the different oscillatory motions defining the flapping kinematics, and controlling the way through which the wing rotates at the end of each half stroke can improve aerodynamic power under a lift constraint. Furthermore, our optimization analysis identified optimal kinematics that agree fairly well with observed insect kinematics, as well as previously published numerical results.

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JO - International Journal of Micro Air Vehicles

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Global-local optimization of flapping kinematics in hovering flight

Abstract

Bibliographical note

ASJC Scopus subject areas

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