Abstract

MARTINEZ-JIMENEZ, Boris L. et al. Identification of an unmanned aerial vehicle. EAC [online]. 2012, vol.33, n.1, pp.45-55. ISSN 1815-5928.

The aerial vehicles development has significantly influenced in human life. The research and development of Unmanned Aerial Vehicles (UAVs) is a current trend, due to they offer great advantages in dissimilar tasks such as remote access, reconnaissance, surveillance and monitoring. During autopilot construction for these vehicles, to obtain a mathematical model is a primary task, because it is required to accurately represent the UAV's dynamics to perform an efficient control over it. Although many works related to analytical modeling of unmanned aircraft are doing, model identification from data is a widely used method because it is very difficult to take into account all interactions and physical phenomena present in these systems. In this paper, dynamic models of a small-sized autonomous plane obtained by applying various techniques of modeling and system identification are presented. Specifically, four models with different features are obtained: an analytical model, a model obtained by classical identification technique, a nuero-fuzzy model and an evolving fuzzy model. Finally, comparison results among obtained models are expressed as well as profit considerations about them.

Keywords : unmanned aerial Vehicle (UAV); dynamic modeling; adaptive systems; fuzzy systems.

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