An intelligent control strategy based on ANFIS techniques in order to improve the performance of a low-cost unmanned aerial vehicle vision system

Marichal, G. N. and Hernández, A. and Olivares Méndez, Miguel Ángel and Acosta, L. and Campoy Cervera, Pascual (2010). An intelligent control strategy based on ANFIS techniques in order to improve the performance of a low-cost unmanned aerial vehicle vision system. In: "IEEE/ASME International Conference on Mechatronics and Embedded Systems and Applications, MESA 2010", 15/07/2010 - 17/07/2010, ShanDong, China. ISBN 978-1-4244-7101-0.

Description

Title: An intelligent control strategy based on ANFIS techniques in order to improve the performance of a low-cost unmanned aerial vehicle vision system
Author/s:
  • Marichal, G. N.
  • Hernández, A.
  • Olivares Méndez, Miguel Ángel
  • Acosta, L.
  • Campoy Cervera, Pascual
Item Type: Presentation at Congress or Conference (Article)
Event Title: IEEE/ASME International Conference on Mechatronics and Embedded Systems and Applications, MESA 2010
Event Dates: 15/07/2010 - 17/07/2010
Event Location: ShanDong, China
Title of Book: Proceedings of the IEEE/ASME International Conference on Mechatronics and Embedded Systems and Applications, MESA 2010
Date: 2010
ISBN: 978-1-4244-7101-0
Subjects:
Faculty: E.T.S.I. Industriales (UPM)
Department: Automática, Ingeniería Electrónica e Informática Industrial [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

Full text

[thumbnail of INVE_MEM_2010_82948.pdf]
Preview
PDF - Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (578kB) | Preview

Abstract

In this paper, an intelligent control approach based on Neuro-Fuzzy systems is presented. A model of a low-cost 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.

More information

Item ID: 8293
DC Identifier: https://oa.upm.es/8293/
OAI Identifier: oai:oa.upm.es:8293
Official URL: http://www.asmemesa.org
Deposited by: Memoria Investigacion
Deposited on: 22 Jul 2011 17:03
Last Modified: 20 Apr 2016 17:08
  • Logo InvestigaM (UPM)
  • Logo GEOUP4
  • Logo Open Access
  • Open Access
  • Logo Sherpa/Romeo
    Check whether the anglo-saxon journal in which you have published an article allows you to also publish it under open access.
  • Logo Dulcinea
    Check whether the spanish journal in which you have published an article allows you to also publish it under open access.
  • Logo de Recolecta
  • Logo del Observatorio I+D+i UPM
  • Logo de OpenCourseWare UPM