Abstract

In this paper a trial has been made to design a simple self-tuning LabVIEW-based PID controller. The controller uses an open-loop relay test, calculates the tuned parameters in an open loop mode of operation before it updates controller parameters and runs the process as a closed-loop system. The controller reacts on a persistent offset error value as a result of load disturbance or a set point change. Practical results show that such a controller may be recommended to control a variety of industrial processes. A GUI was developed to facilitate control-mode selection, the setting of controller parameters, and the display of control system variables. GUI makes it possible to put the controller in manual or self-tuning mode.

Highlights

  • Proportional integral derivative (PID) control method has been the most popular control method, which is widely used in control engineering

  • In order to eliminate the need for operator intervention, it is recommended that control tuning be enabled when the process variable begins a limit cycle [6,7], which may be detected it contains enough information for determining a new set of controller parameters

  • The target of this work is to design a LabVIEW–based self-tuning PID controller and to verify its performance using a process flow-rate trainer which exists at the laboratory of process control

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Summary

Introduction

Proportional integral derivative (PID) control method (algorithm) has been the most popular control method, which is widely used in control engineering. In order to eliminate the need for operator intervention, it is recommended that control tuning be enabled when the process variable begins a limit cycle [6,7], which may be detected it contains enough information for determining a new set of controller parameters.

Basic Idea and Design Considerations
PID Self-Tuning VI Flowchart
The Block Diagram
Experimental Procedure and Experimental Results
Proportional Control Mode
PI and PID Control Modes
Findings
Conclusions

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