Abstract:

Due the existence of nonlinearity, uncertainty and complexity in marine power system, conventional speed regulation system can no longer meet the controlling requirement. Fuzzy Neural Network was applied to the complex process modeling and logical inference to realize intelligent control of power system. Modular modeling methods are used to establish the model of steam turbine. A new type speed regulation system based on fuzzy neural network was presented. The method combines the rough set with fuzzy neural network, which can derive control rules from inputoutput data effectively and find the minimal set of the rules. This method can solve the problem of “rule explosion”. Results of simulation using Matlab indicate that the proposed method possesses the ability of good-quality control when the load disturbances and condition change.

Key words: automatic control technology, marine power system, steam turbine, intelligent control, fuzzy neural network, rough set