Marine diesel engine in ship propulsion is very complex and nonlinear plant. In its modeling for diagnosis and control purpose, not only measuring system, but experts knowledge should play important role. The application of new technologies on ship systems, especially the software ones like expert systems, fuzzy systems, neural networks, etc. gives new diagnostic and control possibilities. New intelligent systems for diagnosis and control of marine diesel engines use a lot of expert knowledge and experience which is fuzzy in nature. Therefore, in designing such knowledge based systems fuzzy approach is of great importance. In this paper some recognized fuzzy modeling techniques suitable for diesel engine diagnosis and control are considered. Two modeling examples are illustrated simulating engine faults: (1) increased cylinder blowby and (2) decreased turbocharger efficiency. In fuzzy control of diesel engine process, two simulation examples are given with fuzzy rules elicited from experts using direct interview method: (1) fuzzy control of diesel fuel oil viscosity (Mamdani model used), and (2) engine shaft speed control (Takagi-Sugeno model used). Simulation examples were shown the real power of fuzzy approach in modeling and control of marine diesel engine process.
Fuzzy modelling and control of marine diesel engine process
Fuzzy-Modellbildung und -Regelung von Schiffsdieselmotoren
2003
5 Seiten, 10 Bilder, 2 Tabellen, 6 Quellen
Aufsatz (Konferenz)
Datenträger
Englisch
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