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Optimal Vertically Ascending Flight of an Insect-Like Flapping-Wing Micro Air Vehicle
Author(s) -
Anh Tuan Nguyen,
Hoang Quan Dinh,
Van-Thang Nguyen,
Thanh Le Vu Dan,
Thanh Dong Pham,
Dinh Quang Nguyen
Publication year - 2020
Publication title -
kalpa publications in engineering
Language(s) - English
Resource type - Conference proceedings
ISSN - 2515-1770
DOI - 10.29007/wndn
Subject(s) - flapping , wing , aerodynamics , insect flight , kinematics , artificial neural network , computer science , micro air vehicle , biomimetics , control theory (sociology) , aerospace engineering , simulation , engineering , artificial intelligence , physics , classical mechanics , control (management)
This paper explores the optimal flight condition of an insect-like flapping-wing micro air vehicle (FWMAV) while ascending vertically at constant speeds. The FWMAV is assumed to have the same mass properties and wing geometry as those of the hawkmoth Manduca sexta. The optimization is conducted through the combination of an artificial neural network and a genetic algorithm. The training data for the artificial neural network are provided by the unsteady vortex-lattice method written in the programming language FORTRAN using parallel computation techniques. The results show that the FWMAV has to alter its wing kinematics and flapping frequency to sustain vertically ascending flight. Moreover, while ascending, the FWMAV requires more energy than that in hover. The findings from this work are useful for the design of control strategies used for insect-like FWMAVs

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