Application of Fuzzy Predictive Control in Superheated Steam Temperature Control

In order to achieve effectiveness and high control performance of nonlinear, time-variable processes, a fuzzy predictive scheme, combing fuzzy modeling and simplified increment model algorithmic control (SIMAC) is proposed. In this algorithmic, impulse response for different operating conditions are extracted online from the nonlinear fuzzy model. The method is better than PID in robustness and dynamic performance. Simulation for the superheated system is carried out. The results show the proposed method has perfect load adaptability