Dynamic Modeling and Analysis of a Single Tilt-Wing Unmanned Aerial Vehicle

2015 ◽  
Author(s):  
Junho Jeong ◽  
Seonghun Yoon ◽  
Seung-Keun Kim ◽  
Jinyoung Suk
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Dynamic Modeling ◽  
Modeling And Analysis ◽  
Aerial Vehicle

scholarly journals Nonlinear Dynamic Modeling of a Fixed-Wing Unmanned Aerial Vehicle: a Case Study of Wulung

2015 ◽  
Vol 6 (1) ◽  
pp. 19 ◽  
Author(s):  
Fadjar Rahino Triputra ◽  
Bambang Riyanto Trilaksono ◽  
Trio Adiono ◽  
Rianto Adhy Sasongko ◽  
Mohamad Dahsyat
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Dynamic Modeling ◽  
Nonlinear Dynamic ◽  
Aerial Vehicle ◽  
Nonlinear Dynamic Modeling

scholarly journals Modeling and Analysis of Chaos and Bifurcations for the Attitude System of a Quadrotor Unmanned Aerial Vehicle

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-16 ◽  
Author(s):  
Haiyun Bi ◽  
Guoyuan Qi ◽  
Jianbing Hu
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Controller Design ◽  
Structural Parameters ◽  
Equilibrium Points ◽  
Pitchfork Bifurcation ◽  
Stable Node ◽  
Modeling And Analysis ◽  
Chaotic Region ◽  
Aerial Vehicle ◽  
The Stability

A model of the attitude system for a quadrotor unmanned aerial vehicle (QUAV), assumed to be a rigid body, is developed. For specific parameter configurations, a chaotic region with a saddle and two stable node-focus equilibrium points is identified. The chaotic model provides an important reference for dynamic analysis and a challengeable task of controller design once the flight enters the chaotic region of parameters. The pitchfork bifurcation of the equilibrium points is provided. Rich dynamics of the system are revealed by two bifurcation regions, which demonstrates the diversity of the flight behaviors as the parameters vary. One bifurcation analysis is with respect to the speed of the front propeller and the speed difference of the front and left propellers, and another one is with respect to the speed of the front propeller and moment of inertia. The dynamic characteristics of the QUAV are further verified by the Casimir power bifurcations. The trajectories of three settings with different structural parameters are analyzed in detail. The stability of the QUAV is found to be enhanced for certain optimized values of the structural parameters. Finally, using the Casimir power and Lagrange multiplier method, a supremum bound of the chaotic attractor is presented.

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