Design of a Nonlinear PID Controller and Tuning Rules for First-Order Plus Time Delay Models

This paper introduces a simple but effective nonlinear proportional-integral-derivative (PID) controller and three model-based tuning rules for first-order plus time delay (FOPTD) models. The proposed controller is based on a conventional PID control architecture, wherein a nonlinear gain is coupled...

Full description

Saved in:
Bibliographic Details
Published inStudies in Informatics and Control Vol. 28; no. 2; p. 157
Main Authors JIN, Gang-Gyoo, SON, Yung-Deug
Format Journal Article
LanguageEnglish
French
Published Bucharest National Institute for Research and Development in Informatics 2019
Subjects
Controllers
Design specifications
Dimensional analysis
Genetic algorithms
Methods
Simulation
Online AccessGet full text

Cover

More Information
Summary:This paper introduces a simple but effective nonlinear proportional-integral-derivative (PID) controller and three model-based tuning rules for first-order plus time delay (FOPTD) models. The proposed controller is based on a conventional PID control architecture, wherein a nonlinear gain is coupled in series with the integral action to scale the error. The optimal parameter sets of the proposed PID controller for step setpoint tracking are obtained based on the FOPTD model, dimensional analysis and a genetic algorithm. As for gauging the performance of the controller, three performance indices (ISE, IAE and ITAE) are adopted. Then, tuning rules are derived using the tuned parameter sets, potential rule models and the least squares method. The simulation results carried out on three processes demonstrate that the proposed method exhibits better performance than the conventional linear PID controllers.
ISSN:1220-1766
1841-429X
DOI:10.24846/v28i2y201904