Neuro-fuzzy hybrid control system of tank level in petroleum plant

Author

Tani, Tetsuji ; Murakoshi, Shunji ; Umano, Motohide

Author_Institution

Manuf. Dept., Idemitsu Kosan Co. Ltd., Chiba, Japan

Volume

4

Issue

3

fYear

1996

fDate

8/1/1996 12:00:00 AM

Firstpage

360

Lastpage

368

Abstract

Shown in this paper is a practical method of control using neural network and fuzzy control techniques, where a neural network estimates the target of fuzzy control. The neural network is used to estimate the transient state of a plant which has nonlinear processes such as refrigerating and filtering. The suitable control target pattern for fuzzy control is selected according to this estimation. This method is applied to control the tank level of a solvent dewaxing plant for: 1) changing the tank outflow rate smoothly, and 2) keeping the tank level stable. The results show that this system can control the tank level effectively in both steady state and transient state

Keywords

fuzzy control; level control; neural nets; neurocontrollers; petroleum industry; process control; state estimation; dewaxing plant; hybrid neuro-fuzzy control; neural network; nonlinear processes; petroleum plant; process control; tank level control; transient state estimation; Control systems; Feeds; Fuzzy control; Fuzzy logic; Lubricants; Neural networks; Oils; Petroleum; Refining; Solvents;

fLanguage

English

Journal_Title

Fuzzy Systems, IEEE Transactions on

Publisher

ieee

ISSN

1063-6706

Type

jour

DOI

10.1109/91.531776

Filename

531776