ABSTRACT

Luo, W. and Zhang, G., 2020. Ship motion trajectory and prediction based on vector analysis. In: Malvárez, G. and Navas, F. (eds.), Global Coastal Issues of 2020. Journal of Coastal Research, Special Issue No. 95, pp. 1183-1188. Coconut Creek (Florida), ISSN 0749-0208.

For the traditional method, there is a problem that the prediction accuracy of the ship's motion trajectory is low and the prediction time is long. A method for predicting the ship motion trajectory based on vector analysis is proposed. ADAMS software is used to analyze the dynamic model of ship motion trajectory, and the visual information of ship motion is collected in the three-dimensional feature space. Combined with the best force model, the trajectory of ship is adjusted adaptively, so as to construct the stress decay characteristic analysis model for the ship based on gray target correlation analysis and guide the trajectory correction of ship. Through the reinforcement learning method of neural network, the ship motion trajectory vector analysis and prediction are carried out, and the prediction accuracy is improved.

This content is only available as a PDF.