Stem Control of a Sliding-Stem Pneumatic Control Valve Using a Recurrent Neural Network

Joint Authors

Haydari, Muhammad
Homaei, Hadi

Source

Advances in Artificial Neural Systems

Issue

Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2013-06-23

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Information Technology and Computer Science

Abstract EN

This paper presents a neural scheme for controlling an actuator of pneumatic control valve system.

Bondgraph method has been used to model the actuator of control valve, in order to compare the response characteristics of valve.

The proposed controller is such that the system is always operating in a closed loop, which should lead to better performance characteristics.

For comparison, minimum- and full-order observer controllers are also utilized to control the actuator of pneumatic control valve.

Simulation results give superior performance of the proposed neural control scheme.

American Psychological Association (APA)

Haydari, Muhammad& Homaei, Hadi. 2013. Stem Control of a Sliding-Stem Pneumatic Control Valve Using a Recurrent Neural Network. Advances in Artificial Neural Systems،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-469997

Modern Language Association (MLA)

Haydari, Muhammad& Homaei, Hadi. Stem Control of a Sliding-Stem Pneumatic Control Valve Using a Recurrent Neural Network. Advances in Artificial Neural Systems No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-469997

American Medical Association (AMA)

Haydari, Muhammad& Homaei, Hadi. Stem Control of a Sliding-Stem Pneumatic Control Valve Using a Recurrent Neural Network. Advances in Artificial Neural Systems. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-469997

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-469997