Abstract

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.

Highlights

  • Process plants consist of hundreds, or even thousands, of control loops all networked together to produce a product to be offered for sale

  • Each of these control loops is designed to keep some important process variables such as pressure, flow, level, and temperature within a required operating range to ensure the quality of the end product

  • If the full-order observer controller is placed in the feedforward path, from this block diagram, the closed-loop transfer function (CLTF) is obtained as follows: N (s29.43e − 9 − 303300000s − 4.818e10)

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Summary

Introduction

Process plants consist of hundreds, or even thousands, of control loops all networked together to produce a product to be offered for sale Each of these control loops is designed to keep some important process variables such as pressure, flow, level, and temperature within a required operating range to ensure the quality of the end product. Champagne and Boyle [3] reviewed the pneumatic actuator and positioner parameters that affect the control package performance This was done through the use of a control valve package computer model to assess the dynamic performance. The effects of supply pressure, step size, load margin, flow, actuator volume, and design style were investigated through the use of mathematical simulations of pneumatic control valve dynamic performance.

Bondgraph Model of Valve and Equations
C Figure 2
Control Schemes
Results and Discussion
Conclusion
Full Text
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