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Publications
Moreira, L. and Guedes Soares, C. (2011), “Application of Neural Networks to Model Catamaran Manoeuvres”, Proceedings of the International Conference on High Performance Marine Vessels (HSMV 2011), 25-27 May, Naples, Italy
In this paper an alternative to the traditional methodology of developing a maneuvering mathematical model is proposed to simulate catamaran maneuvers from data obtained in tests with the real ship. By measuring catamaran maneuvers it is possible to generate a neural network model which will allow the prediction of the catamaran maneuvering performance under different conditions.
This paper presents a Recursive Neural Network (RNN) maneuvering simulation model for surface ships which is applied to a catamaran in this specific case. Inputs to the simulation are the orders of rudder angle and ship’s speed and also the recursive outputs velocities of sway and yaw. Two maneuvers are simulated: tactical circles and zigzags. The results between the data obtained in trials and the simulations are compared in order to analyze the accuracy of the RNN. The study is performed for catamaran operating in the Tagus estuary for passenger transport to and from Lisbon.
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