Genetic Tuning Scheme of PID Parameters for First-Order Systems with Large Dead Times

Yasue MITSUKURA; Toru YAMAMOTO; Masahiro KANEDA

Genetic Tuning Scheme of PID Parameters for First-Order Systems with Large Dead Times

Yasue MITSUKURA, Toru YAMAMOTO, Masahiro KANEDA

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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.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E83-A No.4 pp.740-746

Publication Date: 2000/04/25

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Type of Manuscript: PAPER

Category: Systems and Control

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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 -