Predictive trajectory planning of vectored thruster underwater vehicle with the use of the neural network

Work is devoted of development of predictive method of trajectory planning of a vectored thruster underwater vehicle. The specified underwater vehicle has the limited manoeuvrability, therefore for more effective performance of underwater works it is necessary to know in advance orientation from which it is necessary to arrive in a target point. This problem is solved by means of a neural network which predicts possible position of the next target point. As a result, using the received information, it is possible so to plan a movement trajectory, that the vectored thruster underwater vehicle can move on more difficult spatial trajectories with higher speed.