Autonomous Navigation for Unmanned Aerial Vehicles Based on Chaotic Bionics Theory

• Published in: Journal of bionics engineering Vol. 6; no. 3; pp. 270 - 279
• Main Authors: Yu, Xiao-lei, Sun, Yong-rong, Liu, Jian-ye, Chen, Bing-wen
• Format: Journal Article
• Language: English
• Published: Singapore Elsevier Ltd 01.09.2009; Springer Singapore
• Subjects: Artificial Intelligence; autonomous navigation; Biochemical Engineering; Bioinformatics; Biomaterials; Biomedical Engineering and Bioengineering; Biomedical Engineering/Biotechnology; chaotic system; Engineering; multi-sensory integration; perception-action bionics; UAV; perception-action bionics; multi-sensory integration; UAV; autonomous navigation; chaotic system
• ISSN: 1672-6529; 2543-2141
• DOI: 10.1016/S1672-6529(08)60123-7

In this paper a new reactive mechanism based on perception-action bionics for multi-sensory integration applied to Unmanned 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 environment. The results demonstrate the capability of autonomous navigation for UAV based on chaotic bionics theory in complex spatial environments.