The Research Of Main Steam Temperature Control System Based On Fuzzy Neural Network

In modern thermal power plant, it is very strict that the control of main steam temperature, but because of the big delay of the main steam temperature object's characteristic, big inertial, nonlinear and the variety model with variety time, which causing as to it's control more difficult. The paper adopt fuzzy neural network control that is a kind of compound intelligence control based on the nerve network theories and the fuzzy logical, the study ability of the neural network is used to optimize logical experience rule and adjust proportional gene, which can be realize to the valid control of the main steam temperature. And make use of the matlab proceeding simulative experiment, fuzzy neural network controller arrives the better simulative curve under the different load, we can find out fuzzy neural network control system has the very good robustness and very good control quality.