An intelligent method for high precision oil measurement control

Author

Dongqing, Feng ; Yin Jinyan ; Tiejun, Chen ; Ming, Lin

Author_Institution

Inst. of Inf. & Control, Zhengzhou Univ., Henan, China

Volume

1

fYear

1997

fDate

28-31 Oct 1997

Firstpage

666

Abstract

An intelligent method applied to an oil loading measurement control system in Luoyang Petroleum Industrial General Factory (LPIGF) is introduced. A neural network algorithm is used to model the flowmeters which can modify the coefficients of flowmeter and improve the measurement precision intelligently. A robust control algorithm is designed to improve the control precision, which can adjust the action time of the values to guarantee the amount of the loading oil. The system is low cost, but both measurement and control precision can meet user demands. The system has been successfully applied in practice

Keywords

flow measurement; flowmeters; intelligent control; neurocontrollers; oil technology; petroleum industry; robust control; Luoyang Petroleum Industrial General Factory; action time; control precision; flowmeters; high precision oil measurement control; intelligent method; measurement precision; neural network algorithm; oil loading measurement control system; robust control algorithm; user demands; Algorithm design and analysis; Control systems; Electrical equipment industry; Industrial control; Intelligent control; Intelligent networks; Neural networks; Petroleum industry; Production facilities; Robust control;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-4253-4

Type

conf

DOI

10.1109/ICIPS.1997.672869

Filename

672869