Genetic Algorithm based I-P Controller for Superheated Steam Temperature Control System

Amil Daraz; Engr Suheel Abdullah Malik; Athar Waseem

doi:10.1109/ICECCE52056.2021.9514213

Genetic Algorithm based I-P Controller for Superheated Steam Temperature Control System

Amil Daraz
, Engr Suheel Abdullah Malik
, Athar Waseem

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

In this paper, Integral Proportional (IP) controller is applied for the control of superheated steam temperature (SST) system. The Genetic Algorithm (GA) is used for the tuning of I-P controller. The performance investigation of GA based I-P controller is evaluated on superheated steam system of 500 MW boiler. The GA and conventional Zeigler-Nichols (ZN) method are employed for the tuning of I-P controller. The results obtained from GA and ZN based I-P controller are compared with GA and ZN based Proportional Integral (PI) controller. The results indicate that GA based PI and I-P controllers have better response than Z-N based PI and I-P controllers in respect of settling time, rise time and peak overshoot.

Original language	English
Title of host publication	3rd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665438971
DOIs	https://doi.org/10.1109/ICECCE52056.2021.9514213
State	Published - 12 Jun 2021
Externally published	Yes

Publication series

Name	3rd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2021

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Keywords

Genetic Algorithm
PI and I-P controller
Superheated steam
Ziegler-Nichols Tuning

ASJC Scopus subject areas

Computer Networks and Communications
Hardware and Architecture
Signal Processing
Energy Engineering and Power Technology
Electrical and Electronic Engineering
Instrumentation

Access to Document

10.1109/ICECCE52056.2021.9514213

Cite this

Daraz, A., Malik, E. S. A., & Waseem, A. (2021). Genetic Algorithm based I-P Controller for Superheated Steam Temperature Control System. In 3rd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2021 (3rd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICECCE52056.2021.9514213

Daraz, Amil ; Malik, Engr Suheel Abdullah ; Waseem, Athar. / Genetic Algorithm based I-P Controller for Superheated Steam Temperature Control System. 3rd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2021. Institute of Electrical and Electronics Engineers Inc., 2021. (3rd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2021).

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title = "Genetic Algorithm based I-P Controller for Superheated Steam Temperature Control System",

abstract = "In this paper, Integral Proportional (IP) controller is applied for the control of superheated steam temperature (SST) system. The Genetic Algorithm (GA) is used for the tuning of I-P controller. The performance investigation of GA based I-P controller is evaluated on superheated steam system of 500 MW boiler. The GA and conventional Zeigler-Nichols (ZN) method are employed for the tuning of I-P controller. The results obtained from GA and ZN based I-P controller are compared with GA and ZN based Proportional Integral (PI) controller. The results indicate that GA based PI and I-P controllers have better response than Z-N based PI and I-P controllers in respect of settling time, rise time and peak overshoot.",

keywords = "Genetic Algorithm, PI and I-P controller, Superheated steam, Ziegler-Nichols Tuning",

author = "Amil Daraz and Malik, \{Engr Suheel Abdullah\} and Athar Waseem",

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year = "2021",

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doi = "10.1109/ICECCE52056.2021.9514213",

language = "English",

series = "3rd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2021",

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Daraz, A, Malik, ESA & Waseem, A 2021, Genetic Algorithm based I-P Controller for Superheated Steam Temperature Control System. in 3rd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2021. 3rd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2021, Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ICECCE52056.2021.9514213

Genetic Algorithm based I-P Controller for Superheated Steam Temperature Control System. / Daraz, Amil; Malik, Engr Suheel Abdullah; Waseem, Athar.
3rd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2021. Institute of Electrical and Electronics Engineers Inc., 2021. (3rd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Genetic Algorithm based I-P Controller for Superheated Steam Temperature Control System

AU - Daraz, Amil

AU - Malik, Engr Suheel Abdullah

AU - Waseem, Athar

PY - 2021/6/12

Y1 - 2021/6/12

N2 - In this paper, Integral Proportional (IP) controller is applied for the control of superheated steam temperature (SST) system. The Genetic Algorithm (GA) is used for the tuning of I-P controller. The performance investigation of GA based I-P controller is evaluated on superheated steam system of 500 MW boiler. The GA and conventional Zeigler-Nichols (ZN) method are employed for the tuning of I-P controller. The results obtained from GA and ZN based I-P controller are compared with GA and ZN based Proportional Integral (PI) controller. The results indicate that GA based PI and I-P controllers have better response than Z-N based PI and I-P controllers in respect of settling time, rise time and peak overshoot.

AB - In this paper, Integral Proportional (IP) controller is applied for the control of superheated steam temperature (SST) system. The Genetic Algorithm (GA) is used for the tuning of I-P controller. The performance investigation of GA based I-P controller is evaluated on superheated steam system of 500 MW boiler. The GA and conventional Zeigler-Nichols (ZN) method are employed for the tuning of I-P controller. The results obtained from GA and ZN based I-P controller are compared with GA and ZN based Proportional Integral (PI) controller. The results indicate that GA based PI and I-P controllers have better response than Z-N based PI and I-P controllers in respect of settling time, rise time and peak overshoot.

KW - Genetic Algorithm

KW - PI and I-P controller

KW - Superheated steam

KW - Ziegler-Nichols Tuning

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DO - 10.1109/ICECCE52056.2021.9514213

M3 - Conference contribution

AN - SCOPUS:85115105391

T3 - 3rd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2021

BT - 3rd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2021

PB - Institute of Electrical and Electronics Engineers Inc.

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Daraz A, Malik ESA, Waseem A. Genetic Algorithm based I-P Controller for Superheated Steam Temperature Control System. In 3rd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2021. Institute of Electrical and Electronics Engineers Inc. 2021. (3rd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2021). doi: 10.1109/ICECCE52056.2021.9514213

Genetic Algorithm based I-P Controller for Superheated Steam Temperature Control System

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this