Design and Flight Testing of H¿ Lateral Flight Control for an Unmanned Air Vehicle

Author(s):  
Kannan Natesan ◽  
M. Seetharama Bhat
Author(s):  
Sergio A. Araujo-Estrada ◽  
Francis Salama ◽  
Colin M. Greatwood ◽  
Kieran T. Wood ◽  
Thomas S. Richardson ◽  
...  

2008 ◽  
Vol 45 (2) ◽  
pp. 673-685 ◽  
Author(s):  
R. Hugh Stone ◽  
Peter Anderson ◽  
Colin Hutchison ◽  
Allen Tsai ◽  
Peter Gibbens ◽  
...  

2013 ◽  
Vol 117 (1189) ◽  
pp. 315-327 ◽  
Author(s):  
A. García Naranjo ◽  
I. Cowling ◽  
J. A. Green ◽  
N. Qin

Abstract This work considers the effects of camber morphing, both in magnitude and chord position, on the performance of a generic unmanned air vehicle (UAV). The focus is to maximise appropriate aerodynamic factors across the mission by optimising the wing camber. Specifically, the enhancement of range, endurance, and stall speed is sought by means of maximising their aerodynamic performance parameters, CL /CD , CL 3/2/CD , and CLmax respectively. An analysis of the effects of camber morphing is carried out using the vortex panel code, XFOIL, utilising aerofoils from the NACA four-digit family. The results are then adjusted to account for 3D flow factors such as induced drag, offering a more realistic appraisal of their effectiveness. Flight testing is then performed on four wings of fixed aerofoil sections, optimised for each performance characteristic, to validate the trends observed in the XFOIL data onboard a 1·64m span aircraft.


Author(s):  
İsmail Hakkı Şahin ◽  
Coşku Kasnakoğlu

This paper investigates a methodology for autopilot design for an unmanned air vehicle where one of the lateral control surfaces, i.e. the aileron or rudder, becomes jammed and unusable. The autopilot handles the automatic recovery, autonomous guidance and landing of the disabled unmanned aerial vehicle. An accurate nonlinear aircraft model is used to build local flight control laws using loop-shaping to decouple longitudinal and lateral channels. The design is carried out in a way to allow smooth scheduling over the local controllers without losing stability and performance, culminating in a robust emergency autopilot over the full flight envelope. The autopilot is tested on an example distress scenario involving aileron surface jam. It is confirmed through simulations that the autopilot design is capable of resuming safe flight and autonomous navigation under the fault scenario and is able to safely land the unmanned aerial vehicle to a target runway.


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