Flexible kiteplane modeling and control with an unsteady aerodynamic model

2016 ◽  
Author(s):  
Ryan James Caverly ◽  
James Richard Forbes
Keyword(s):  
Modeling And Control ◽  
Unsteady Aerodynamic ◽  
Aerodynamic Model ◽  
And Control

Unsteady aerodynamic modeling and control of the wind turbine with trailing edge flap

2018 ◽  
Vol 10 (6) ◽  
pp. 063304 ◽  
Author(s):  
Wenguang Zhang ◽  
Yifeng Wang ◽  
Ruijie Liu ◽  
Haipeng Liu ◽  
Xu Zhang
Keyword(s):  
Wind Turbine ◽  
Trailing Edge ◽  
Modeling And Control ◽  
Aerodynamic Modeling ◽  
Unsteady Aerodynamic ◽  
Trailing Edge Flap ◽  
And Control

Unsteady aerodynamic modeling and control of pusher and tilt-rotor quadplane configurations

2019 ◽  
Vol 94 ◽  
pp. 105421 ◽  
Author(s):  
Yunus Govdeli ◽  
Sheikh Moheed Bin Muzaffar ◽  
Raunak Raj ◽  
Basman Elhadidi ◽  
Erdal Kayacan
Keyword(s):  
Modeling And Control ◽  
Tilt Rotor ◽  
Aerodynamic Modeling ◽  
Unsteady Aerodynamic ◽  
And Control

scholarly journals Modeling, System Measurements and Controller Investigation of a Small Battery-Powered Fixed-Wing UAV

Machines ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 333
Author(s):  
Yue Wang ◽  
Hang Zhu ◽  
Zeyang Zhao ◽  
Cui Zhang ◽  
Yubin Lan
Keyword(s):  
Nonlinear Model ◽  
Controller Design ◽  
Nonlinear Modeling ◽  
Path Following ◽  
Large Error ◽  
Modeling And Control ◽  
Aerodynamic Model ◽  
Set Up ◽  
Cfd Method ◽  
And Control

In this paper, a complete set of nonlinear modeling and controller design process for a small electric fixed-wing unmanned aerial vehicle (UAV) is presented. The nonlinear mathematical model and aerodynamic model of the small fixed-wing UAV are derived. The computational fluid dynamics (CFD) method was used to obtain the aerodynamic coefficients of the UAV, and the models of propulsion system components were established through experiments. Since the linearized and decoupled model of the fixed-wing UAV has a large error, a nonlinear model is established based on Simulink, which is utilized to design and verify the control algorithms. Based on the established nonlinear model, a stability controller, path following controller and path management controller of the aircraft are set up. The results indicate that system parameters of the aircraft can be quickly acquired and an efficient and practical model can be established by the methods. In addition, the controller designed and applied in this paper has good performance and small steady-state error, which can meet the basic flight mission requirements, including stability of flight attitude, path following and switching of different waypoints. These modeling and control methods can also be employed in other small battery-powered fixed-wing UAV projects.

Modeling and Control for Plant Dynamics Based on Reinforcement Learning

2009 ◽  
Vol 129 (4) ◽  
pp. 363-367
Author(s):  
Tomoyuki Maeda ◽  
Makishi Nakayama ◽  
Hiroshi Narazaki ◽  
Akira Kitamura
Keyword(s):  
Reinforcement Learning ◽  
Modeling And Control ◽  
Plant Dynamics ◽  
And Control
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