Design and implementation of global path planning system for unmanned surface vehicle among multiple task points

Global path planning is the key technology in the design of unmanned surface vehicles (USVs). This paper establishes global environment modelling based on electronic charts and hexagonal grids which are proved to be better than square grids in validity, safety and rapidity. Besides, the authors introduce Cube coordinate system to simplify hexagonal algorithms. Furthermore, the authors propose an improved A* algorithm to realise the path planning between two points. Based on that, the authors build the global path planning modelling for multiple task points and present an improved ant colony optimisation to realise it accurately. The simulation results show that the global path planning system can plan an optimal path to tour multiple task points safely and quickly, which is superior to traditional methods in safety, rapidity and path length. Besides, the planned path can directly apply to actual applications of USVs.

Language

  • English

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Filing Info

  • Accession Number: 01677015
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Jul 18 2018 8:41AM