Table of Contents
Advances in Artificial Neural Systems
Volume 2013, Article ID 410870, 7 pages
Research Article

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

1Mechanical Engineering Group, Aligudarz Branch, Islamic Azad University, P.O. Box 159, Aligudarz, Iran
2Faculty of Engineering, Shahrekord University, P.O. Box 115, Shahrekord, Iran

Received 14 March 2013; Revised 1 June 2013; Accepted 6 June 2013

Academic Editor: Chao-Ton Su

Copyright © 2013 Mohammad Heidari and Hadi Homaei. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.