Global Path Planning for an Autonomous Underwater Vehicle in a Vortical Current Field by Using Genetic Algorithm
Kiyoung Lee, Subum Kim, Chan-Hee Song · Journal of the Korea Institute of Military Science and Technology · 2013
The purpose of this paper is to demonstrate that the genetic algorithm can be useful for the global path planning when the obstacles and current field data are given. In particular, the possibilities for a novel type small AUV mission deployment in tidal regions, which experience vortical currents, were examined. Experimental simulations show feasibility and effective in generate the global path regardless of current and obstacles. By choosing an appropriate path in space, an AUV may both bypass adverse currents which are too fast to be overcome by the vehicle's motor and also exploit favorable currents to achieve far greater speeds than motors could otherwise provide, while substantially saving energy.