Model-based multivariable fuzzy adaptive controller for paper-making process

Author

Zheng, Huailin ; Chen, Weinan

Author_Institution

Res. Inst. of Autom., Southeast Univ., Nanjing, China

Volume

4

fYear

1998

fDate

21-26 Jun 1998

Firstpage

2272

Abstract

Through modifying the counter-propagation network (CPN) model, a kind of multivariable fuzzy model is put forward, and the matching fuzzy multistep predictive control algorithm is deduced based on the model. The modified model has the merits of fast learning and online self-organizing. The control algorithm is simple, adaptive and useful in multivariable and time delay systems. Applying the algorithm in a paper-making system, simulation shows its good effect

Keywords

backpropagation; delays; fuzzy control; model reference adaptive control systems; multivariable control systems; neurocontrollers; online operation; paper industry; predictive control; process control; self-organising feature maps; CPN model; backpropagation; counter-propagation network; fast learning; matching fuzzy multistep predictive control algorithm; model-based multivariable fuzzy adaptive controller; multivariable fuzzy model; online self-organization; paper-making process; time delay systems; Adaptive control; Delay effects; Electrical equipment industry; Fuzzy control; Fuzzy systems; Prediction algorithms; Predictive control; Predictive models; Process control; Programmable control;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, 1998. Proceedings of the 1998

Conference_Location

Philadelphia, PA

ISSN

0743-1619

Print_ISBN

0-7803-4530-4

Type

conf

DOI

10.1109/ACC.1998.703032

Filename

703032