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Authors: Jesús-Antonio Hernández-Riveros ; Jorge-Humberto Urrea-Quintero and Cindy Carmona-Cadavid

Affiliation: Facultad de Minas and Universidad Nacional de Colombia, Colombia

ISBN: 978-989-758-052-9

Keyword(s): PID Tuning, Heuristic Algorithm, Integral Performance Criterion, Multidynamics Optimization.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Evolutionary Multiobjective Optimization ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Soft Computing ; Symbolic Systems

Abstract: The Proportional Integral Derivative controller is the most widely used industrial device for monitoring and controlling processes. Although there are alternatives to the traditional rules of tuning, there is not yet a study showing that the use of heuristic algorithms it is indeed better than using the classic methods of optimal tuning. Current trends in controller parameter estimation minimize an integral performance criterion. In this paper, an evolutionary algorithm (MAGO - Multidynamics Algorithm for Global Optimization) is used as a tool to optimize the controller parameters minimizing the ITAE (Integral of Time multiplied by Absolut Error) performance index. The procedure is applied to a set of standard plants modelled as a Second Order System Plus Time Delay (SOSPD). Operating on servo and regulator modes and regardless the plant used, the evolutionary approach gets a better overall performance comparing to traditional methods (Bohl and McAvoy, Minimum ITAE-Hassan, Minimum IT AE-Sung). The solutions obtained cover all restrictions and extends the maximum and minimum boundaries between them. (More)

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Paper citation in several formats:
Hernández-Riveros J., Urrea-Quintero J. and Carmona-Cadavid C. (2014). Evolutionary Tuning of Optimal Controllers for Complex Systems.In Proceedings of the International Conference on Evolutionary Computation Theory and Applications - Volume 1: ECTA, (IJCCI 2014) ISBN 978-989-758-052-9, pages 11-20. DOI: 10.5220/0005041100110020

@conference{ecta14,
author={Jesús-Antonio Hernández-Riveros and Jorge-Humberto Urrea-Quintero and Cindy Carmona-Cadavid},
title={Evolutionary Tuning of Optimal Controllers for Complex Systems},
booktitle={Proceedings of the International Conference on Evolutionary Computation Theory and Applications - Volume 1: ECTA, (IJCCI 2014)},
year={2014},
pages={11-20},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005041100110020},
isbn={978-989-758-052-9},
}

TY - CONF

JO - Proceedings of the International Conference on Evolutionary Computation Theory and Applications - Volume 1: ECTA, (IJCCI 2014)
TI - Evolutionary Tuning of Optimal Controllers for Complex Systems
SN - 978-989-758-052-9
AU - Hernández-Riveros J.
AU - Urrea-Quintero J.
AU - Carmona-Cadavid C.
PY - 2014
SP - 11
EP - 20
DO - 10.5220/0005041100110020

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