Title :
Online tuning scheme for generalized predictive controller via simulation-optimization
Author :
Li, Shaoyuan ; Du, Guoning
Author_Institution :
Inst. of Autom., Shanghai Jiao Tong Univ., China
fDate :
6/24/1905 12:00:00 AM
Abstract :
From the process control point of view, it is difficult to find out the optimal parameters for the control system based on the single quadratic performance index, which is used in the standard predictive control algorithm. The fuzzy decision-making function is investigated in this paper. First, M control actions are obtained by an unconstrained predictive control algorithm, and fuzzy goals and fuzzy constraints can then be calculated and the global satisfactory degree is obtained by fuzzy inference. Moreover, the weighting coefficient λ in the cost function is tuned using simulation-optimization according to the fuzzy criteria
Keywords :
fuzzy control; fuzzy set theory; optimisation; predictive control; process control; real-time systems; tuning; controller tuning; cost function; fuzzy constraints; fuzzy decision-making function; fuzzy goals; fuzzy inference; fuzzy set theory; model predictive control; process control; simulation-optimization; Control systems; Cost function; Decision making; Fuzzy control; Inference algorithms; Optimal control; Performance analysis; Prediction algorithms; Predictive control; Process control;
Conference_Titel :
Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7280-8
DOI :
10.1109/FUZZ.2002.1006706
