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Authors: P. H. G. Coelho ; J. F. M. Amaral ; Y. Bacelar ; E. N. Rocha ; M. Bentes and T. Souza

Affiliation: State Univ. of Rio de Janeiro, FEN/DETEL, R. S. Francisco Xavier,524/Sala 5001E, Maracanã, RJ, 20550-900, Brazil

Keyword(s): PID Tuning, Fuzzy Systems, Genetic Algorithms, Artificial Intelligence Applications.

Abstract: This paper deals with a procedure for adjusting the gains of a Proportional-Integral-Derivative (PID) controller. Multi-objective genetic algorithms with fuzzy aggregation are used for tuning this controller. To that end, the component values of a known topology of analog PID controller circuit are evolved by a genetic algorithm to yield acceptable performance specifications. A fuzzy aggregator allows multi-objective evaluation for the genetic algorithm. Three objectives regarding the PID reference input signal specifications were considered: overshoot, rise time and settling time. Minimizing these objectives approximates the PID controller output to the reference signal and leads the genetic algorithm to find the best controller gains. A case study is presented to illustrate the procedure.

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Paper citation in several formats:
H. G. Coelho, P.; M. Amaral, J.; Bacelar, Y.; N. Rocha, E.; Bentes, M. and Souza, T. (2023). Tuning Analog PID Controllers by Multi-Objective Genetic Algorithms with Fuzzy Aggregation. In Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-648-4; ISSN 2184-4992, SciTePress, pages 563-571. DOI: 10.5220/0011976900003467

@conference{iceis23,
author={P. {H. G. Coelho}. and J. F. {M. Amaral}. and Y. Bacelar. and E. {N. Rocha}. and M. Bentes. and T. Souza.},
title={Tuning Analog PID Controllers by Multi-Objective Genetic Algorithms with Fuzzy Aggregation},
booktitle={Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2023},
pages={563-571},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011976900003467},
isbn={978-989-758-648-4},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Tuning Analog PID Controllers by Multi-Objective Genetic Algorithms with Fuzzy Aggregation
SN - 978-989-758-648-4
IS - 2184-4992
AU - H. G. Coelho, P.
AU - M. Amaral, J.
AU - Bacelar, Y.
AU - N. Rocha, E.
AU - Bentes, M.
AU - Souza, T.
PY - 2023
SP - 563
EP - 571
DO - 10.5220/0011976900003467
PB - SciTePress

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