alexa Modeling and Control of a Dragonfly-like Micro Aerial V
ISSN: 2168-9695

Advances in Robotics & Automation
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Research Article

Modeling and Control of a Dragonfly-like Micro Aerial Vehicle

Du CP1,2*, Xu JX2 and Zheng Y1

1School of Aeronautics and Astronautics, Zhejiang University, Hangzhou, 310027, China

2Department of Electrical and Computer Engineering, National University of Singapore, 117576, Singapore

*Corresponding Author:
Du CP
School of Aeronautics and Astronautics
Zhejiang University, Hangzhou
310027, China
Tel: +86 571 8517 2244
E-mail: [email protected]

Received September 18, 2015; Accepted October 13, 2015; Published October 23, 2015

Citation: Du CP, Xu JX, Zheng Y (2015) Modeling and Control of a Dragonfly-like Micro Aerial Vehicle. Adv Robot Autom S2:006. doi: 10.4172/2168-9695.S2-006

Copyright: © 2015 Du CP, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 

Abstract

The modeling and control design of a dragonfly-like flapping wing micro aerial vehicle (FWMAV) are studied in this paper. The aerodynamic force model of flapping wings is presented first, which is obtained by the local air velocity of the wing and local attack angle of the wing, unlike some existing works. Then, the complete mathematic model of FWMAV is developed by combining the aerodynamic force model and a kinematic model in which the micro aerial vehicle is regarded as a 6 degree-of-freedom rigid body. To mimic real dragonflies, the tail of the FWMAV swings only, unlike fixed-wing aircrafts that possess conventional control surfaces in tail. This yields a control difficulty due to the loss of the maneuverability in tail. To design an appropriate control mechanism, the complete FWMAV model, which is highly nonlinear, is rewritten in a companion form. The controller is designed to iteratively solve for a desired control signal profile by means of a dual-loop nonlinear dynamic inversion with Newton-Raphson solution. Numerical simulation results show that the effectiveness and convergence performance of the nonlinear controller are obtained.

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