The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Les schémas de contrôle PID ont été largement utilisés dans la plupart des systèmes de contrôle de processus. La plupart de ces processus sont souvent traités comme des systèmes du premier ordre avec des temps morts. De plus, dans de nombreux cas, les paramètres PID sont généralement ajustés en fonction des paramètres du processus, c'est-à-dire la constante de temps, le temps mort et le gain du processus. Cependant, comme ces paramètres de procédé ne peuvent pas être obtenus avec précision, il est bien connu qu'il est difficile de trouver les paramètres PID appropriés dans la pratique. Dans cet article, nous proposons un schéma de réglage génétique des paramètres PID pour les systèmes du premier ordre avec des temps morts importants. Les auteurs ont déjà proposé une méthode de réglage des paramètres PID utilisant un algorithme génétique (GA), basé sur la relation entre le contrôle PID et les lois de contrôle généralisé à variance minimale (GMVC). En pratique, pour les systèmes à temps mort importants, des préfiltres passe-bas du premier ordre sont souvent utilisés. La méthode proposée est une version étendue de la méthode proposée précédemment mentionnée ci-dessus au système avec un pré-filtre en raison du temps mort important, c'est-à-dire une méthode de réglage des paramètres PID et du pré-filtre utilisant un GA. Le schéma de contrôle proposé est évalué numériquement sur quelques exemples de simulation.
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Yasue MITSUKURA, Toru YAMAMOTO, Masahiro KANEDA, "Genetic Tuning Scheme of PID Parameters for First-Order Systems with Large Dead Times" in IEICE TRANSACTIONS on Fundamentals,
vol. E83-A, no. 4, pp. 740-746, April 2000, doi: .
Abstract: PID control schemes have been widely used in most of process control systems. Most of these processes are often treated as first-order systems with dead times. And also, in many cases, PID parameters are usually tuned based on the process parameters, i. e. , the time constant, the dead time and the process gain. However, since these process parameters can not be obtained exactly, it is well known that it is difficult to find the suitable PID parameters in practice. In this paper, we propose a genetic tuning scheme of PID parameters for first-order systems with large dead times. The authors have already proposed a tuning method of PID parameters using a genetic algorithm (GA), which was based on the relationship between PID control and generalized minimum variance control(GMVC) laws. In practice, for large dead time systems, first-order low pass pre-filters are often used. The proposed method is an extended version of the previously proposed method mentioned above to the system with a pre-filter due to the large dead time, i. e. , a tuning method of both PID parameters and the pre-filter using a GA. The proposed control scheme is numerically evaluated on some simulation examples.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e83-a_4_740/_p
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@ARTICLE{e83-a_4_740,
author={Yasue MITSUKURA, Toru YAMAMOTO, Masahiro KANEDA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Genetic Tuning Scheme of PID Parameters for First-Order Systems with Large Dead Times},
year={2000},
volume={E83-A},
number={4},
pages={740-746},
abstract={PID control schemes have been widely used in most of process control systems. Most of these processes are often treated as first-order systems with dead times. And also, in many cases, PID parameters are usually tuned based on the process parameters, i. e. , the time constant, the dead time and the process gain. However, since these process parameters can not be obtained exactly, it is well known that it is difficult to find the suitable PID parameters in practice. In this paper, we propose a genetic tuning scheme of PID parameters for first-order systems with large dead times. The authors have already proposed a tuning method of PID parameters using a genetic algorithm (GA), which was based on the relationship between PID control and generalized minimum variance control(GMVC) laws. In practice, for large dead time systems, first-order low pass pre-filters are often used. The proposed method is an extended version of the previously proposed method mentioned above to the system with a pre-filter due to the large dead time, i. e. , a tuning method of both PID parameters and the pre-filter using a GA. The proposed control scheme is numerically evaluated on some simulation examples.},
keywords={},
doi={},
ISSN={},
month={April},}
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TY - JOUR
TI - Genetic Tuning Scheme of PID Parameters for First-Order Systems with Large Dead Times
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 740
EP - 746
AU - Yasue MITSUKURA
AU - Toru YAMAMOTO
AU - Masahiro KANEDA
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E83-A
IS - 4
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - April 2000
AB - PID control schemes have been widely used in most of process control systems. Most of these processes are often treated as first-order systems with dead times. And also, in many cases, PID parameters are usually tuned based on the process parameters, i. e. , the time constant, the dead time and the process gain. However, since these process parameters can not be obtained exactly, it is well known that it is difficult to find the suitable PID parameters in practice. In this paper, we propose a genetic tuning scheme of PID parameters for first-order systems with large dead times. The authors have already proposed a tuning method of PID parameters using a genetic algorithm (GA), which was based on the relationship between PID control and generalized minimum variance control(GMVC) laws. In practice, for large dead time systems, first-order low pass pre-filters are often used. The proposed method is an extended version of the previously proposed method mentioned above to the system with a pre-filter due to the large dead time, i. e. , a tuning method of both PID parameters and the pre-filter using a GA. The proposed control scheme is numerically evaluated on some simulation examples.
ER -