Path Planning Method for UUV Homing and Docking in Movement Disorders Environment

Path planning method for unmanned underwater vehicles (UUV) homing and docking in movement disorders environment is proposed in this paper. Firstly, cost function is proposed for path planning. Then, a novel particle swarm optimization (NPSO) is proposed and applied to find the waypoint with minimum...

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Bibliographic Details
Published in:TheScientificWorld 2014-01, Vol.2014 (2014), p.1-13
Main Authors: Chen, Tao, Chi, Dongnan, Deng, Chao, Yan, Zheping, Hou, Shuping
Format: Article
Language:English
Subjects:
Colleges & universities
Computer Simulation
Control
Electronics in navigation
Engineering research
Hydrology
Mathematical optimization
Methods
Models, Theoretical
Motion
Motion control
Personal computers
Remote submersibles
Ships - methods
Software packages
Underwater vehicles
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Summary:Path planning method for unmanned underwater vehicles (UUV) homing and docking in movement disorders environment is proposed in this paper. Firstly, cost function is proposed for path planning. Then, a novel particle swarm optimization (NPSO) is proposed and applied to find the waypoint with minimum value of cost function. Then, a strategy for UUV enters into the mother vessel with a fixed angle being proposed. Finally, the test function is introduced to analyze the performance of NPSO and compare with basic particle swarm optimization (BPSO), inertia weight particle swarm optimization (LWPSO, EPSO), and time-varying acceleration coefficient (TVAC). It has turned out that, for unimodal functions, NPSO performed better searching accuracy and stability than other algorithms, and, for multimodal functions, the performance of NPSO is similar to TVAC. Then, the simulation of UUV path planning is presented, and it showed that, with the strategy proposed in this paper, UUV can dodge obstacles and threats, and search for the efficiency path.
ISSN:2356-6140
1537-744X
1537-744X
DOI:10.1155/2014/246469