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.
Synchronization of Chaotic Systems Using Time-Delayed Fuzzy State-Feedback Controller
