Vibration reduction for vision systems on board unmanned aerial vehicles using a neuro-fuzzy controller

Marichal, G. N. and Tomas Rodríguez, María and Hernández López, Ángela and Castillo Rivera, Salvador and Campoy Cervera, Pascual (2013). Vibration reduction for vision systems on board unmanned aerial vehicles using a neuro-fuzzy controller. "Journal of Vibration and Control", v. 20 (n. 15); pp. 2243-2253. ISSN 1077-5463. https://doi.org/10.1177/1077546313479632.

Description

Title: Vibration reduction for vision systems on board unmanned aerial vehicles using a neuro-fuzzy controller
Author/s:
  • Marichal, G. N.
  • Tomas Rodríguez, María
  • Hernández López, Ángela
  • Castillo Rivera, Salvador
  • Campoy Cervera, Pascual
Item Type: Article
Título de Revista/Publicación: Journal of Vibration and Control
Date: 25 June 2013
ISSN: 1077-5463
Volume: 20
Subjects:
Freetext Keywords: Vibration, control, neuro-fuzzy, model, intelligent
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

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Abstract

In this paper, an intelligent control approach based on neuro-fuzzy systems performance is presented, with the objective of counteracting the vibrations that affect the low-cost vision platform onboard an unmanned aerial system of rotating nature. A scaled dynamical model of a helicopter is used to simulate vibrations on its fuselage. The impact of these vibrations on the low-cost vision system will be assessed and an intelligent control approach will be derived in order to reduce its detrimental influence. Different trials that consider a neuro-fuzzy approach as a fundamental part of an intelligent semi-active control strategy have been carried out. Satisfactory results have been achieved compared to those obtained by means of vibration reduction passive techniques.

More information

Item ID: 29368
DC Identifier: http://oa.upm.es/29368/
OAI Identifier: oai:oa.upm.es:29368
DOI: 10.1177/1077546313479632
Official URL: http://jvc.sagepub.com/content/20/15.toc
Deposited by: Memoria Investigacion
Deposited on: 27 Apr 2015 17:24
Last Modified: 27 Apr 2015 17:24
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