Process Control Strategy for Oilfield Piezoelectric Control Layered Production Allocation

Article Preview

Abstract:

Focusing on the fluid flow control in oilfield piezoelectric control layered production allocation, an identification-free adaptive control strategy with expert amendment is proposed to solve the problem that it is hard to be controlled due to large time delay, nonlinearity, time variation and difficulty in establishing mathematical model of regulation process. In this control strategy, according to the past and current process information, the process output and trend can be estimated based on expert rules to amend the output of the identification-free adaptive control. The simulation result shows that this control strategy has good robustness and perfect fluid flow control for piezoelectric control layered production allocation process.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

403-407

Citation:

Online since:

August 2013

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Jiang Tiezheng, Chen Chen, Ai Qian. Nonlinear optimal predictive controller for main steam valve of turbine generator. Control Theory and Application, 2006, 23(3): 358-462.

Google Scholar

[2] C. C. Tsai and C. H. Lu, Multivariable Self-Tuning Temperature Control for Plastic Injection Molding Process, IEEE Transaction on Industry Application, vol. 34, Mar. 1998, pp.310-318.

DOI: 10.1109/28.663473

Google Scholar

[3] C. H. Lu and C. C. Tsai, Adptive Decoupling Predictive Temperature Control for an Ectrusion Barrel in a Plastic Injection Molding Process, IEEE Transations on Industry Electronics, vol. 48, Oct. 2001, pp.968-975.

DOI: 10.1109/41.954561

Google Scholar

[4] Qiao Junfei, Sun Yaming, Chai Tianyou. Adaptive Control Method Based on Fuzz Prediction and Its Application. Transactions of China Electrotechnical Society, 2004, 21(6): 858-863.

Google Scholar

[5] Q. Y. Jiang, Predictive Algorithms of Identification-free Algorithms for Adaptive Control and its Application, Acta Automatica Sinica, vol. 23, Feb. 1997, pp.107-110.

Google Scholar

[6] Han Zhigang. Model free control law in the production of chemical fertilizer. Control Theory and Applications, 2004, 21(6): 67-70.

Google Scholar