Title :
Application of Fuzzy Predictive Control in Superheated Steam Temperature Control
Author :
Wang, Na ; Jiao, Song-ming ; Wang, Dong-feng ; Qi, Shou-rong ; Han, Pu
Author_Institution :
Dept. of Autom., North China Electr. Power Univ., Baoding
Abstract :
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
Keywords :
fuzzy control; heat systems; predictive control; temperature control; transient response; fuzzy predictive control; impulse response; nonlinear fuzzy model; nonlinear time-variable processes; simplified increment model algorithmic control; superheated steam temperature control; Automatic control; Cybernetics; Electrical equipment industry; Fuzzy control; Fuzzy systems; Machine learning; Power system modeling; Prediction algorithms; Predictive control; Predictive models; Robust stability; Temperature control; Fuzzy model; Impulse Response model; SIMAC; Superheated control;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.259113
