The Simulation Study For Fuzzy Control In Steam Temperature Control System

The application of Fuzzy-Pi composite control in the superheated steam temperature system of thermal power station is primarily studied in this dissertation. On the basis of analyzing the operating process, adjusted-objects and their dynamic characters of the superheated steam temperature system, models of system construction are established; A scheme of design of composite fuzzy serial control system is presented keeping the anti-jamming function of serial control and the good dynamic characteristic of fuzzy control based on the analysis of the characteristic of superheated steam temperature of thermal power station. For the implementation of self-learning in fuzzy logic control this paper proposes genetic algorithm to optimize the fuzzy set partitions. The improved genetic operators are given and the simulation for temperature control system using this method is studied. The results show the proposed method is valid.