Optimization of flapping-wing micro aircrafts based on the kinematic parameters using genetic algorithm method

In this paper the optimization of kinematics, which has great influence in performance of flapping foil propulsion, is investigated. The purpose of optimization is to design a flapping-wing micro aircraft with appropriate kinematics and aerodynamics features, making the micro aircraft suitable for t...

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Main Authors: Ebrahim BARATI, Hamid Reza KARBASIAN, Javad ABOLFAZLI ESFAHANI, Mahdi ABOLFAZLI ESFAHANI
Format: Article
Language:English
Published: National Institute for Aerospace Research “Elie Carafoli” - INCAS 2013-03-01
Series:INCAS Bulletin
Subjects:
Online Access:http://bulletin.incas.ro/files/abolfazli_esfahani_m__karbasian_h_r__abolfazli_esf.pdf
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author Ebrahim BARATI
Hamid Reza KARBASIAN
Javad ABOLFAZLI ESFAHANI
Mahdi ABOLFAZLI ESFAHANI
author_facet Ebrahim BARATI
Hamid Reza KARBASIAN
Javad ABOLFAZLI ESFAHANI
Mahdi ABOLFAZLI ESFAHANI
author_sort Ebrahim BARATI
collection DOAJ
description In this paper the optimization of kinematics, which has great influence in performance of flapping foil propulsion, is investigated. The purpose of optimization is to design a flapping-wing micro aircraft with appropriate kinematics and aerodynamics features, making the micro aircraft suitable for transportation over large distance with minimum energy consumption. On the point of optimal design, the pitch amplitude, wing reduced frequency and phase difference between plunging and pitching are considered as given parameters and consumed energy, generated thrust by wings and lost power are computed using the 2D quasi-steady aerodynamic model and multi-objective genetic algorithm. Based on the thrust optimization, the increase in pitch amplitude reduces the power consumption. In this case the lost power increases and the maximum thrust coefficient is computed of 2.43. Based on the power optimization, the results show that the increase in pitch amplitude leads to power consumption increase. Additionally, the minimum lost power obtained in this case is 23% at pitch amplitude of 25°, wing reduced frequency of 0.42 and phase angle difference between plunging and pitching of 77°. Furthermore, the wing reduced frequency can be estimated using regression with respect to pitch amplitude, because reduced frequency variations with pitch amplitude is approximately a linear function.
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spelling doaj.art-5804dfdae42340d4b661b65c2ee684322022-12-21T18:45:38ZengNational Institute for Aerospace Research “Elie Carafoli” - INCASINCAS Bulletin2066-82012247-45282013-03-015131210.13111/2066-8201.2013.5.1.1Optimization of flapping-wing micro aircrafts based on the kinematic parameters using genetic algorithm methodEbrahim BARATIHamid Reza KARBASIANJavad ABOLFAZLI ESFAHANIMahdi ABOLFAZLI ESFAHANIIn this paper the optimization of kinematics, which has great influence in performance of flapping foil propulsion, is investigated. The purpose of optimization is to design a flapping-wing micro aircraft with appropriate kinematics and aerodynamics features, making the micro aircraft suitable for transportation over large distance with minimum energy consumption. On the point of optimal design, the pitch amplitude, wing reduced frequency and phase difference between plunging and pitching are considered as given parameters and consumed energy, generated thrust by wings and lost power are computed using the 2D quasi-steady aerodynamic model and multi-objective genetic algorithm. Based on the thrust optimization, the increase in pitch amplitude reduces the power consumption. In this case the lost power increases and the maximum thrust coefficient is computed of 2.43. Based on the power optimization, the results show that the increase in pitch amplitude leads to power consumption increase. Additionally, the minimum lost power obtained in this case is 23% at pitch amplitude of 25°, wing reduced frequency of 0.42 and phase angle difference between plunging and pitching of 77°. Furthermore, the wing reduced frequency can be estimated using regression with respect to pitch amplitude, because reduced frequency variations with pitch amplitude is approximately a linear function.http://bulletin.incas.ro/files/abolfazli_esfahani_m__karbasian_h_r__abolfazli_esf.pdfFlapping-wing micro aircraftAerodynamicsFlapping foil propulsionoptimizationgenetic algorithm
spellingShingle Ebrahim BARATI
Hamid Reza KARBASIAN
Javad ABOLFAZLI ESFAHANI
Mahdi ABOLFAZLI ESFAHANI
Optimization of flapping-wing micro aircrafts based on the kinematic parameters using genetic algorithm method
INCAS Bulletin
Flapping-wing micro aircraft
Aerodynamics
Flapping foil propulsion
optimization
genetic algorithm
title Optimization of flapping-wing micro aircrafts based on the kinematic parameters using genetic algorithm method
title_full Optimization of flapping-wing micro aircrafts based on the kinematic parameters using genetic algorithm method
title_fullStr Optimization of flapping-wing micro aircrafts based on the kinematic parameters using genetic algorithm method
title_full_unstemmed Optimization of flapping-wing micro aircrafts based on the kinematic parameters using genetic algorithm method
title_short Optimization of flapping-wing micro aircrafts based on the kinematic parameters using genetic algorithm method
title_sort optimization of flapping wing micro aircrafts based on the kinematic parameters using genetic algorithm method
topic Flapping-wing micro aircraft
Aerodynamics
Flapping foil propulsion
optimization
genetic algorithm
url http://bulletin.incas.ro/files/abolfazli_esfahani_m__karbasian_h_r__abolfazli_esf.pdf
work_keys_str_mv AT ebrahimbarati optimizationofflappingwingmicroaircraftsbasedonthekinematicparametersusinggeneticalgorithmmethod
AT hamidrezakarbasian optimizationofflappingwingmicroaircraftsbasedonthekinematicparametersusinggeneticalgorithmmethod
AT javadabolfazliesfahani optimizationofflappingwingmicroaircraftsbasedonthekinematicparametersusinggeneticalgorithmmethod
AT mahdiabolfazliesfahani optimizationofflappingwingmicroaircraftsbasedonthekinematicparametersusinggeneticalgorithmmethod