State Variable-Fuzzy Prediction Control Strategy For Superheated Steam Temperature Of Thermal Power Units

With the large-scale grid connection of new energy power, the random fluctua-tion existing in the power system is intensified, which leads to frequent fluctua-tion of load instructions of thermal power units. It is of great significance to im-prove the variable load performance of the coal-fired units. It is more difficult to control the superheated steam temperature (SST). In order to improve the control performance of SST, a state variable fuzzy predictive control method is proposed in this paper. Firstly, Takagi-Sugeno fuzzy state observer is used to approximate the non-linear plant of the SST. At the same time, based on the state observer, a fuzzy state feedback controller is designed to improve its dynamic characteristics. Thirdly, based on the extended predictive model of the state feedback controller, a model predictive controller is designed to realize the SST tracking control. Dy-namic simulation shows the effectiveness of the strategy.