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Autonomous Navigation for Unmanned Aerial Vehicles Based on Chaotic Bionics Theory

机译:基于混沌仿生学的无人机自主导航

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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 muitiscroil chaotic system which i sable 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.
机译:本文提出了一种基于感知动作仿生学的多传感器集成反应机制,应用于无人飞行器(UAV)导航。该策略的灵感来自在受到外部刺激的兔子中观察到的嗅球神经活动。新的无人机导航技术利用了muitiscroil混沌系统的使用,该系统可以实时控制朝着不那么复杂的轨道(如周期性轨道或平衡点)进行感知的轨道。这些信息会根据通过合成孔径雷达(SAR)传感系统获得的环境变化进行实时修改。给出了该方法的数学细节,包括在虚拟环境中的仿真结果。研究结果证明了基于混沌仿生学的无人机在复杂空间环境中的自主导航能力。

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