Vibration reduction for vision systems on board UAV using a neuro-fuzzy controller

Marichal, N., Tomas-Rodriguez, M., Hernandez, A., Castillo, S. & Campoy, P. (2013). Vibration reduction for vision systems on board UAV using a neuro-fuzzy controller. Journal of Vibration and Control, 20(15), pp. 2243-2253. doi: 10.1177/1077546313479632

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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.

Item Type: Article
Uncontrolled Keywords: Vibration, control, neuro-fuzzy, model, intelligent
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: School of Engineering & Mathematical Sciences > Engineering

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