A framework for fuzzy logic based UAV navigation and control

A two module fuzzy logic controller that also includes a separate error calculating box is derived for autonomous navigation and control of small manned- unmanned aerial vehicles demonstrating ability to fly through specified waypoints in a 3-D environment repeatedly, perform trajectory tracking, an...

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Bibliographic Details
Published in:	IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004 Vol. 4; pp. 4041 - 4046 Vol.4
Main Authors:	Doitsidis, L., Valavanis, K.P., Tsourveloudis, N.C., Kontitsis, M.
Format:	Conference Proceeding
Language:	English
Published:	Piscataway NJ IEEE 2004
Subjects:	Applied sciences Computer science; control theory; systems Control systems Control theory. Systems Error correction Exact sciences and technology Fuzzy logic Linear feedback control systems Mathematical model MATLAB Navigation Remotely operated vehicles Robotics Trajectory Unmanned aerial vehicles Fuzzy logic Fuzzy control Visualization Navigation Position control Unmanned aerial vehicle UAV Logic controller Motion control
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Summary:	A two module fuzzy logic controller that also includes a separate error calculating box is derived for autonomous navigation and control of small manned- unmanned aerial vehicles demonstrating ability to fly through specified waypoints in a 3-D environment repeatedly, perform trajectory tracking, and, duplicate/follow another vehicle's trajectory. A MATLAB standard configuration environment and the Aerosim Aeronautical Simulation Block Set are utilized for simulation studies, presented through a visualization interface; results illustrate controller performance and potential.
ISBN:	9780780382329 0780382323
ISSN:	1050-4729 2577-087X
DOI:	10.1109/ROBOT.2004.1308903