Intelligent System of Automatic Ship Course Operation Based on the Neural Network Governor Mechanism

The paper focuses on the basic principles developing automatic ship course operation systems in brief. The authors propose and justify the use of neural network technologies for the conning of marine vessels. The paper includes the performed computer simulation technique. It was carried out to determine the performance optimization with the enhanced architecture of the neural network governor mechanism for the automatic ship course operation system. The paper also proves that the only type of neural network is unable to adapt to different navigation conditions. Therefore, the authors present the intelligent system architecture based on neural network technologies and intelligent qualifiers in this paper. The proposed intelligent system allows one to select the architecture and settings of the neural network governor mechanism automatically that is optimal for the present navigation conditions. Moreover, the paper introduces the intelligent system operation outcome, suggesting that it deals quite well with the set task of controlling the course vessel.