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

Volume

2

fYear

2002

fDate

6/24/1905 12:00:00 AM

Firstpage

1381

Lastpage

1386

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/FUZZ.2002.1006706

Filename

1006706