A comparison of morphing control strategies for a flexible wing micro air vehicle model incorporating Spatial Hysteresis damping

2014 ◽  
Author(s):  
Jonathan B. Walters ◽  
Katie A. Evans ◽  
Animesh Chakravarthy ◽  
Lisa M. Kuhn
Keyword(s):  
Control Strategies ◽  
Micro Air Vehicle ◽  
Vehicle Model ◽  
Flexible Wing ◽  
Air Vehicle

scholarly journals Dove: A biomimetic flapping-wing micro air vehicle

2017 ◽  
Vol 10 (1) ◽  
pp. 70-84 ◽  
Author(s):  
Wenqing Yang ◽  
Liguang Wang ◽  
Bifeng Song
Keyword(s):  
Mechanism Design ◽  
Flapping Wing ◽  
Micro Air Vehicle ◽  
Flexible Wing ◽  
The Past ◽  
Ground Station ◽  
Air Vehicle ◽  
Research Goal ◽  
Color Video ◽  
Flapping Mechanism

This paper describes the design and development of the Dove, a flapping-wing micro air vehicle (FWMAV), which was developed in Northwestern Polytechnical University. FWMAVs have attracted international attentions since the past two decades. Since some achievements have been obtained, such as the capability of supporting an air vehicle to fly, our research goal was to design an FWMAV that has the ability to accomplish a task. Main investigations were presented in this paper, including the flexible wing design, the flapping mechanism design, and the on-board avionics development. The current Dove has a mass of 220 g, a wingspan of 50 cm, and the ability of operating fully autonomously, flying lasts half an hour, and transmitting live stabilized color video to a ground station over 4 km away.

scholarly journals Optimal Vertically Ascending Flight of an Insect-Like Flapping-Wing Micro Air Vehicle

10.29007/wndn ◽  
2020 ◽  
Author(s):  
Anh Tuan Nguyen ◽  
Hoang Quan Dinh ◽  
Van Thang Nguyen ◽  
Thanh Le Vu Dan ◽  
Thanh Dong Pham ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Control Strategies ◽  
Flapping Wing ◽  
Micro Air Vehicle ◽  
Training Data ◽  
Lattice Method ◽  
Air Vehicle ◽  
Wing Geometry ◽  
Artificial Neural

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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