DocumentCode
2753085
Title
Fuzzy control loop in an autonomous landing system for Unmanned Air Vehicles
Author
Tweedale, Jeffrey W.
Author_Institution
Defence Sci. & Technol. Organ., Edinburgh, SA, Australia
fYear
2012
fDate
10-15 June 2012
Firstpage
1
Lastpage
8
Abstract
Humans are still responsible for operating complex equipment because they are able to respond during emergency situations. By removing the pilot from an aircraft, Unmanned Air Vehicles (UAVs) are vulnerable to unpredictable activity within their environment. The landing process is the most stressful phase of flight for pilots and as a consequence, a significant number of UAV are being destroyed or unnecessarily damaged. An automated landing system similar to that for civil aviation would not only improve safety, but it would reduce the cognitive loading of operators and logistic costs. A small team will integrate a segmented Fuzzy Logic Controller (FLC) with a low cost sensor (The XBox 360 Kinect) to create an autonomous landing system for UAV platforms. The knowledge discovered while processing and analysing the data captured during the course of the project will be used to evolve further capability into the controller.
Keywords
aircraft; autonomous aerial vehicles; data mining; fuzzy control; FLC; UAV; aircraft; autonomous landing system; civil aviation; complex equipment; emergency situations; fuzzy control loop; knowledge discovery; landing process; segmented fuzzy logic controller; unmanned air vehicles; Aircraft; Artificial intelligence; Cameras; Humans; Robot sensing systems; Tracking; Agent; Fuzzy Logic Controller; Global Positioning System; Kinect; Unmanned Air Vehicle;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on
Conference_Location
Brisbane, QLD
ISSN
1098-7584
Print_ISBN
978-1-4673-1507-4
Electronic_ISBN
1098-7584
Type
conf
DOI
10.1109/FUZZ-IEEE.2012.6251198
Filename
6251198
Link To Document