Autonomous Navigation for Unmanned Aerial Vehicles Based on Chaotic Bionics Theory

doi:10.1016/S1672-6529(08)60123-7

Abstract

Abstract:

In this paper a new reactive mechanism based on perception-action bionics for multi-sensory integration applied to Un-manned Aerial Vehicles (UAVs) navigation is proposed. The strategy is inspired by the olfactory bulb neural activity observed in rabbits subject to external stimuli. The new UAV navigation technique exploits the use of a multiscroll chaotic system which is able to be controlled in real-time towards less complex orbits, like periodic orbits or equilibrium points, considered as perceptive orbits. These are subject to real-time modifications on the basis of environment changes acquired through a Synthetic Aperture Radar (SAR) sensory system. The mathematical details of the approach are given including simulation results in a virtual en-vironment. The results demonstrate the capability of autonomous navigation for UAV based on chaotic bionics theory in com-plex spatial environments.

Key words: chaotic system, perception-action bionics, UAV, multi-sensory integration, autonomous navigation

Xiao-lei Yu, Yong-rong Sun, Jian-ye Liu, Bing-wen Chen. Autonomous Navigation for Unmanned Aerial Vehicles Based on Chaotic Bionics Theory[J].J4, 2009, 6(3): 270-279.

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