By Topic

Control algorithm and flight simulation integration using the open control platform for unmanned aerial vehicles

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

6 Author(s)
Kannan, S. ; Georgia Inst. of Technol., Atlanta, GA, USA ; Restrepo, C. ; Yavrucuk, I. ; Wills, L.
more authors

In order for Unmanned Aerial Vehicles (UAVs) to exhibit increasing degrees of autonomy; heterogeneous control system software needs to be able to collaborate and reconfigure to varying mission conditions. Currently this ability is very limited due to inadequate software architectures on which the control systems are implemented. This paper describes an integration platform that adopts an open systems approach to integrating heterogeneous control algorithms. This platform was applied to real-time piloted and unpiloted simulations of a helicopter UAV while testing the performance of an adaptive controller as well as the ability to reconfigure during a main rotor collective actuator failure. Results indicate that the chosen architecture can greatly increase the ability to integrate heterogeneous components in a seamless fashion into a collaborating set of resources that achieve the desired mission functionality. This paper describes the integration of flight modeling and visualization with control algorithms

Published in:

Digital Avionics Systems Conference, 1999. Proceedings. 18th  (Volume:2 )

Date of Conference:

1999