Application of Artificial Intelligence in Marine Engine Control System: Recent Advancements

Abstract

This thesis aims to find out recent advancements based on artificial intelligence (AI) in the field of marine engine control systems. The demand for using artificial intelligence in marine engine control systems is in growing phase to make the control systems more efficient, reliable and sustainable. This thesis explains the background of marine engine control system, including how conventional control systems work and what are their limitations. As the control systems are consistently moving towards artificial intelligence based algorithms, this thesis explores AI-based control systems, especially the ones which are related to marine engine control systems. The comparison between traditional control systems and AI-based control systems for instance, machine learning, fuzzy logic, and neural networks show which control system has better efficiency when it comes to optimized engine performance, fuel efficiency, and predictive maintenance. Traditional control methods are generally not suitable to handle complex situations in various dynamic conditions, real-time decision making, and predictive maintenance even though the methods are well established for a long period of time. This study also includes the positive impact of using artificial intelligence in various parts of control systems via discussing many case studies from real-world applications.

Despite the advantages of AI, the adoption of AI in marine engine control systems is not without challenges, including computational complexity and regulatory monitoring by authorities. This thesis concludes with a presentation of future trends in autonomous marine systems and AI integration, as well as with some key recommendations for future research and industry adoption strategies.