[en] n this paper, an intelligent control approach
based on Neuro-Fuzzy systems is presented. A model of a lowcost
vision platform for an unmanned aerial system is taken in
the study. A simulation platform including this low-cost vision
system and the influence of the helicopter vibrations over this
system is shown. The intelligent control approach has been
inserted in this simulation platform. Several trials taking these
Neuro-Fuzzy systems as a fundamental part of the control
strategy have been carried out. Satisfactory results have been
achieved in comparison with the results provided by classical
techniques.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Marichal, G. N.; Universidad de La Laguna, Tenerife. Spain > Departamento de lng. de Sistemas y Automatica, Arq. y Tec. de Compo
Hernández, A.; Universidad de La Laguna, La Laguna, 38071. Tenerife. Spain > Departamento de lng. de Sistemas y Automatica, Arq. y Tec. de Compo
Olivares Mendez, Miguel Angel ; Universidad Politecnica de Madrid (UPM) - Centro de Automatica y Robotica (CAR) > Computer Vision Group
Acosta, L.; Universidad de La Laguna, La Laguna, 38071. Tenerife. Spain > Departamento de lng. de Sistemas y Automatica, Arq. y Tec. de Compo
Campoy, P.; Universidad Politecnica de Madrid (UPM) - Centro de Automatica y Robotica (CAR) > Computer Vision Group
Language :
English
Title :
An intelligent control strategy based on ANFIS techniques in order to improve the performance of a low-cost unmanned aerial vehicle vision system
Publication date :
2010
Event name :
Mechatronics and Embedded Systems and Applications (MESA), 2010 IEEE/ASME International Conference on
Event date :
15-17 July 2010
Main work title :
Mechatronics and Embedded Systems and Applications (MESA), 2010 IEEE/ASME International Conference on
Autodesk® Inventor™ Available online: http://www.autodesk.com/ inventor/.
Simulink ® Available online http://www.mathworks.com/products/ simulink/.
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