Marine Diesel Engine Process Modelling and Control Using Advanced Technologies

The paper presents some possibilities of practical use of advanced computing technologies applied to the modelling and control of marine diesel engine. The emphasis is put on two well recognised techniques, fuzzy logic and artificial neural networks. Because of the complexity of diesel propulsion engine working in changeable operating regimes and environmental conditions at sea, it is highly desirable to have adaptive control system capable of accommodating to such situations. We propose here an effective method of engine control system design using multiple engine models and adequate algorithms with learning and adapting possibilities to different operating and environmental conditions. Simulation examples applied to marine diesel engine of MAN B&W 6L60MC type show advantages of using combined methods and techniques in engine modelling and control.