Effects of Flapping Wing Kinematics on Hovering and Forward Flight Aerodynamics

AIAA Journal ◽  
2011 ◽  
Vol 49 (8) ◽  
pp. 1750-1762 ◽  
Author(s):  
Hiroto Nagai ◽  
Koji Isogai
AIAA Journal ◽  
2014 ◽  
Vol 52 (10) ◽  
pp. 2342-2354 ◽  
Author(s):  
A. Gogulapati ◽  
P. P. Friedmann ◽  
J. R. R. A. Martins

2014 ◽  
Vol 46 (5) ◽  
pp. 055515 ◽  
Author(s):  
Jianyang Zhu ◽  
Chaoying Zhou ◽  
Chao Wang ◽  
Lin Jiang
Keyword(s):  

2019 ◽  
Vol 90 ◽  
pp. 246-263 ◽  
Author(s):  
Ahmed A. Hussein ◽  
Ahmed E. Seleit ◽  
Haithem E. Taha ◽  
Muhammad R. Hajj

Aerospace ◽  
2018 ◽  
Vol 5 (3) ◽  
pp. 83 ◽  
Author(s):  
Hidetoshi Takahashi ◽  
Kosuke Abe ◽  
Tomoyuki Takahata ◽  
Isao Shimoyama

Beetles have attracted attention from researchers due to their unique combination of a passively flapping forewing and an actively flapping hindwing during flight. Because the wing loads of beetles are larger than the wing loads of other insects, the mechanism of beetle flight is potentially useful for modeling a small aircraft with a large weight. In this paper, we present a beetle-type ornithopter in which the wings are geometrically and kinematically modeled after an actual beetle. Furthermore, the forewing is designed to be changeable between no-wing, flapping-wing, or fixed-wing configurations. Micro-electro-mechanical systems (MEMS) differential pressure sensors were attached to both the forewing and the hindwing to evaluate the aerodynamic performance during flight. Whether the forewing is configured as a flapping wing or a fixed wing, it generated constant positive differential pressure during forward flight, whereas the differential pressure on the hindwing varied with the flapping motion during forward flight. The experimental results suggest that beetles utilize the forewing for effective vertical force enhancement.


2012 ◽  
Vol 24 (4) ◽  
pp. 602-611 ◽  
Author(s):  
Bo Cheng ◽  
◽  
Xinyan Deng

In this paper, we propose a neural adaptive controller for attitude control in a flapping-wing insect model. The model is nonlinear and subjected to periodic force/torque generated by nominal wing kinematics. Two sets of model parameters are obtained from the fruit flyDrosophila melanogasterand the honey beeApis mellifera. Attitude control is achieved by modifying the wing kinematics on a stroke-by-stroke basis. The controller is based on filtered-error with neural network models approximating system nonlinearities. Lyapunov-based stability analysis shows the asymptotic convergence of system outputs. We present simulation results for angular position stabilization and trajectory tracking. Trajectory tracking is illustrated by two cases: saccadic turning and sinusoidal variation in the yaw angle. The proposed controller successfully regulates flight orientation – roll, pitch and yaw angles – by generating desired torque resulting from tuning parameterized wing motion. Results furthermore show similarities between simulated and observed turning from real insects, suggesting some inherent properties in insect flight dynamics and control. The proposed controller has potential applications in future flapping-wing Micro Air Vehicles (MAVs).


Sign in / Sign up

Export Citation Format

Share Document