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Autonomous Navigation for Unmanned Aerial Vehicles Based on Chaotic Bionics Theory

Autonomous Navigation for Unmanned Aerial Vehicles Based on Chaotic Bionics Theory

作     者:Xiao-lei Yu~(1,2) Yong-rong Sun~1 Jian-ye Liu~1 Bing-wen Chen~31.Navigation Research Centre,Nanjing Universi~ of Aeronautics and Astronautics,Nanjing 210016,P.R.China2.Institute for Technology Research & Innovation,Deakin University,Vic 3217,Australia3.Institute.for Unmanned Aerial Vehicle Research,Beihang University,Beijing 100083,P.R.China 

作者机构:Navigation Research Centre Nanjing University of Aeronautics and Astronautics Nanjing P. R. China Institute for Technology Research & Innovation Deakin University Melbourne Australia Institute for Unmanned Aerial Vehicle Research Beihang University Beijing P. R. China 

出 版 物:《Journal of Bionic Engineering》 (仿生工程学报(英文版))

年 卷 期:2009年第6卷第3期

页      面:270-279页

核心收录:

学科分类:08[工学] 081105[工学-导航、制导与控制] 0811[工学-控制科学与工程] 

基  金:supported by the National High Technology Research and Development Program of China (863 Program) (2006AA12A108)"Multi-sensor Integrated Navigation in Aeronautics Field" the Ministry of Science and Technology of China CSC International Scholarship (2008104769) Chinese Scholarship Council International Postgraduate Research Scholarship Program (2009800778591) from Australian Government 

主  题:chaotlc system perception-action bionlcs UAV,multi-sensoty integration autonomous navigation 

摘      要: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 *** strategy is inspired by the olfactory bulb neural activity observed in rabbits subject to external *** 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 *** are subject to real-time modifications on the basis of environment changes acquired through a Synthetic Aperture Radar (SAR) sensory *** mathematical details of the approach are given including simulation results in a virtual en- *** results demonstrate the capability of autonomous navigation for UAV based on chaotic bionics theory in com- plex spatial environments.

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