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Vision-based bio-inspired guidance law for small aerial vehicle
Authors:Wang Zhengjie  Huang Weilin  Yan Yonghong
Institution:a School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China;
b Key Lab of Speech Acoustics and Content Understanding, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100081, China
Abstract: During predation, a flying insect can form a stealth flight path. This behavior is called motion camouflage. Based on the study results of this behavior, the perception and neurology of flying insects, a novel bio-inspired guidance law is proposed for the terminal guidance for small aerial vehicle with charge-coupled device imaging seekers. The kinematics relationship between a small aerial vehicle and target is analyzed, and a two-dimensional guidance law model is established by using artificial neural networks. To compare with the proportional guidance law, the numerical simulations are carried out in the vertical plane and in the horizontal plane respectively. The simulation results show that the ballistic of the small aerial vehicle is straighter and the normal acceleration is smaller by using the bio-inspired guidance law than by using the proportional guidance law. That is to say, the bio-inspired guidance law just uses the information of the target from the imaging seeker, but the performance of it can be better than that of the proportional guidance law.
Keywords:Back-propagation learning rule  Guidance law  Motion camouflage  Neural network  Small aerial vehicle
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