An Autosteering Gear System with a Fuzzy Regulator Adjusted by a Neural Network

This paper gives a quick overview of current positioning vessel seaway systems with particular focus on autosteering gear systems involving elements of artificial intelligence systems. The authors recommend an autosteering system containing a fuzzy logic regulator to obtain control activity; a neural network classifier enabling to select optimal neural network models of the vessel paths; and an optimizer with a genetic algorithm that promotes controller parameter settings on a fuzzy logic. The paper submits findings from obtaining optimal neural network architectures, which are prospective for composing neural network models of the sea vessel paths. The conducted simulation modeling for a trawler, one of the most difficult sea craft to control, allows the researchers to make positive conclusions on the introduced system operation.