Self tuning digital proportional integral derivative (PID) controller applied to flow and level processes

Date of Publication

1993

Document Type

Master's Thesis

Degree Name

Master of Science in Electronics and Communications Engineering

Subject Categories

Controls and Control Theory | Digital Circuits | Digital Communications and Networking | Power and Energy | Systems and Communications

College

Gokongwei College of Engineering

Department/Unit

Electronics and Communications Engineering

Thesis Adviser

Felicito Caluyo

Defense Panel Chair

Joseph Gasendo

Defense Panel Member

Aliento Estalilla
Roberto Caguinguin

Abstract/Summary

A proportional-plus-integral-plus-derivative (PID) controller, or a three-mode control is the most sophisticated, continuous controller available in feedback loops. It gives rapid response and it exhibits no offsets. With the progress of computer technology, new control methods are being developed. Rapid progress has been made in adaptive control theory and various applications for practical use including process control. An intelligent PID controller is a self-tuning controller. These controllers exist for the control of difficult processes. The self-tuning PID controller is able to estimate the optimum value of PID parameters according to process behavior that change under a closed loop control condition and to tune PID parameters until a good control criteria is achieved. This is an interesting control option wherein, by using the Ziegler Nichols Procedures, the determination of the optimal proportional, integral and derivative control constants is already possible. During the self-tune sequence, the controller introduces a number of step changes within the tolerances allowed by the operator in order to characterize the system response. The value of P, Ti and Td are evaluated and changed if the criteria has not yet been achieved.

The first part of this research covers the interfacing of the processes to the computer which will act as the self tuning PID controller and data recorder. The second part is the development of PID self-tuning Controller software applied to the level and flow processes available at the Process Control Laboratory of the College of Engineering, De La Salle University.

Abstract Format

html

Language

English

Format

Print

Accession Number

TG02174

Shelf Location

Archives, The Learning Commons, 12F Henry Sy Sr. Hall

Physical Description

210 numb. leaves

Keywords

Digital control systems; Micro-processors; Digital electronics; Signal processing -- Digital technique; Electronic control

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