On board flight computers for flight testing small uninhabited aerial vehicles

Author(s):  
C.E. Hall
2009 ◽  
Vol 1 (3) ◽  
pp. 155-171 ◽  
Author(s):  
Jon N. Ostler ◽  
W. Jerry Bowman ◽  
Deryl O. Snyder ◽  
Timothy W. McLain

2001 ◽  
Author(s):  
Jesse Lucas ◽  
Jennie Gallimore ◽  
S. Narayanan

Author(s):  
Luke Roberts ◽  
Hugh A. Bruck ◽  
Satyandra K. Gupta

Flapping wing miniature aerial vehicles (FWMAVs) offer advantages over traditional fixed wing or quadrotor MAV platforms because they are more maneuverable than fixed wing aircraft and are more energy efficient than quadrotors, while being quieter than both. Currently, autonomy in FWMAVs has only been implemented in flapping vehicles without independent wing control, limiting their level of control. We have developed Robo Raven IV, a FWMAV platform with independently controllable wings and an actuated tail controlled by an onboard autopilot system. In this paper, we present the details of Robo Raven IV platform along with a control algorithm that uses a GPS, gyroscope, compass, and custom PID controller to autonomously loiter about a predefined point. We show through simulation that this system has the ability to loiter in a 50 meter radius around a predefined location through the manipulation of the wings and tail. A simulation of the algorithm using characterized GPS and tail response error via a PID controller is also developed. Flight testing of Robo Raven IV demonstrated the success of this platform, even in winds of up to 10 mph.


2009 ◽  
Vol 32 (4) ◽  
pp. 1152-1166 ◽  
Author(s):  
John J. Enright ◽  
Ketan Savla ◽  
Emilio Frazzoli ◽  
Francesco Bullo

2000 ◽  
Vol 12 (6) ◽  
pp. 628-639 ◽  
Author(s):  
S. Narayanan ◽  
◽  
Heath A. Ruff ◽  
Narasimha Rao Edala ◽  
Jonathan A. Geist ◽  
...  

Uninhabited aerial vehicles are aircraft without the onboard presence of pilot or aircrew. Even though the human is removed from the direct control of the aircraft, the human is typically involved in the process as a supervisor in a multiple task telerobotics control system. The supervisor must receive the appropriate information for efficient decision making and input the information required to augment the autonomous control of the vehicle as necessary. This article presents an approach that applies human operator modeling methods to perform semiotic analysis and identifies the content and form of the information required for effective supervisory control. This paper also outlines a computational modeling and simulation architecture that supports concurrent multi-user connectivity and reconfigurable user interfaces. The potential utilization of this architecture to systematically evaluate interface concepts and the role of automation in these systems is also described. Finally, an empirical evaluation is described that benchmarks the effectiveness of the architecture.Human-Integrated Supervisory Control of Uninhabited Combat Aerial Vehicles.


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