Title :
A cooperative hunting algorithm of multi-AUV in 3-D dynamic environment
Author :
Zongrui Huang ; Daqi Zhu
Author_Institution :
Lab. of Underwater Vehicles & Intell. Syst., Shanghai Maritime Univ., Shanghai, China
Abstract :
A Multi-AUV cooperative hunting algorithm based on Bio-inspired neural network is proposed for 3-D dynamic environment in this paper. Firstly, based on the establishment of biological inspired neural network model, AUV working environment is represent by it, there is one-to-one correspondence between each neuron in neural network and the position of the grid map of underwater environment. Then the guidance of neurons provides high efficient path planning for each hunting AUV and finally the target is surrounded by AUVs. Lastly, to demonstrate the effectiveness of the proposed algorithm, simulation results are given in this paper.
Keywords :
autonomous underwater vehicles; neurocontrollers; path planning; vehicle dynamics; 3D dynamic environment; AUV working environment; bio-inspired neural network; biological inspired neural network model; grid map; multiAUV cooperative hunting algorithm; neuron guidance; one-to-one correspondence; path planning; underwater environment; Biological neural networks; Biological system modeling; Heuristic algorithms; Neurons; Robot kinematics; Vehicle dynamics; Bio-inspired Neural Network; Cooperative Hunting and 3-D Underwater Environment;
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
DOI :
10.1109/CCDC.2015.7162355