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Authors: Gediminas Liaucius and Vytautas Kaminskas

Affiliation: Vytautas Magnus University, Lithuania

Keyword(s): Self-tuning PID Control, Closed-loop Parameters and Sampling Period Optimization, Predictor-based Self-tuning Control with Constraints, Pressure Process.

Related Ontology Subjects/Areas/Topics: Adaptive Signal Processing and Control ; Informatics in Control, Automation and Robotics ; Signal Processing, Sensors, Systems Modeling and Control

Abstract: Two digital control systems - Self-tuning PID (Proportional-Integral-Derivative) Control and Predictor-based self-tuning control with constraints - for the continuous-time pressure process control are presented in this paper. The digital self-tuning PID control with optimization of closed-loop parameters and sampling period is proposed. The multidimensional optimization problem of closed-loop parameters and sampling period is solved by subcomponent search method that enables dividing the problem to one-dimensional optimization problems. The golden section search is adjusted to solve those – one-dimensional - optimization problems. The predictor-based self-tuning control with constraints is adapted for both minimum-phase and nonminimum-phase process models. The control quality of pressure process of both control systems has been experimentally investigated. The results of experimental analysis demonstrate that the digital self-tuning PID control with optimization is more efficient as compared to predictive-based self-tuning control with constraints for pressure process. (More)

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Paper citation in several formats:
Liaucius, G. and Kaminskas, V. (2014). Digital Self-tuning Control for Pressure Process. In Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO; ISBN 978-989-758-039-0; ISSN 2184-2809, SciTePress, pages 612-619. DOI: 10.5220/0005012106120619

@conference{icinco14,
author={Gediminas Liaucius. and Vytautas Kaminskas.},
title={Digital Self-tuning Control for Pressure Process},
booktitle={Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO},
year={2014},
pages={612-619},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005012106120619},
isbn={978-989-758-039-0},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO
TI - Digital Self-tuning Control for Pressure Process
SN - 978-989-758-039-0
IS - 2184-2809
AU - Liaucius, G.
AU - Kaminskas, V.
PY - 2014
SP - 612
EP - 619
DO - 10.5220/0005012106120619
PB - SciTePress