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".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
PID 제어 방식은 대부분의 프로세스 제어 시스템에서 널리 사용되었습니다. 이러한 프로세스의 대부분은 데드 타임이 있는 1차 시스템으로 처리되는 경우가 많습니다. 또한 많은 경우 PID 매개변수는 일반적으로 프로세스 매개변수, 즉 시상수, 데드타임, 프로세스 게인을 기반으로 조정됩니다. 그러나 이러한 공정 매개변수는 정확하게 구할 수 없기 때문에 실제로 적합한 PID 매개변수를 찾는 것이 어렵다는 것은 잘 알려진 사실이다. 본 논문에서는 데드타임이 큰 1차 시스템에 대한 PID 매개변수의 유전적 조정 방식을 제안합니다. 저자들은 이미 PID 제어와 일반화된 최소 분산 제어(GMVC) 법칙 간의 관계를 기반으로 하는 유전 알고리즘(GA)을 이용한 PID 매개변수 튜닝 방법을 제안한 바 있습니다. 실제로 큰 데드타임 시스템의 경우 1차 저역 통과 사전 필터가 자주 사용됩니다. 제안하는 방법은 위에서 언급한 이전에 제안된 방법을 데드타임이 커서 프리필터를 사용하는 시스템으로 확장한 것이다. 즉, PID 파라미터와 GA를 이용한 프리필터를 모두 튜닝하는 방법이다. 제안된 제어 방식은 일부 시뮬레이션 사례를 통해 수치적으로 평가되었습니다.
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부
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
부
@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},}
부
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 -