TY - JOUR
TI - State variable-fuzzy prediction control strategy for superheated steam temperature of thermal power units
AU - Tu Xuan
AU - Shi Jiakui
AU - Yao Kun
AU - Wan Jie
AU - Qiao Fei
JN - Thermal Science
PY - 2021
VL - 25
IS - 6
SP - 4083
EP - 4090
PT - Article
AB - With the large-scale grid connection of new energy power, the random  fluctuation existing in the power system is intensified, which leads to  frequent fluctuation of load instructions of thermal power units. It is of  great significance to improve 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. Dynamic simulation shows the  effectiveness of the strategy.