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

Nicolas Marichal, G., Tomas-Rodriguez, M., Hernandez, A. , Castillo-Rivera, S. & Campoy, P. (2014). Vibration reduction for vision systems on board unmanned aerial vehicles using a neuro-fuzzy controller. Journal of Vibration and Control, 20(15), pp. 2243-2253. doi: 10.1177/1077546313479632

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.

Publication Type: Article
Publisher Keywords: Vibration, control, neuro-fuzzy, model, intelligent
Subjects: T Technology > TL Motor vehicles. Aeronautics. Astronautics
Departments: School of Science & Technology > Engineering
SWORD Depositor:
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