Performance analysis of the Level control with inverse response by using particle swarm optimization

Boiler is an important utility system to support operations in the industry. The control of water level in the steam drum is a complicated task due to the non-minimum phase (NMP), which possibly will cause instability to the controlled water level in the steam drum. Process identification and contro...

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Main Authors: I. M. Chew, Felisa Wong, Awang Bono, Jobrun Nandong, K. I. Wong
Format: Conference or Workshop Item
Language:English
Published: 2020
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Online Access:https://eprints.ums.edu.my/id/eprint/25540/1/Performance%20analysis%20of%20the%20Level%20control%20with%20inverse%20response%20by%20using%20particle%20swarm%20optimization.pdf
https://eprints.ums.edu.my/id/eprint/25540/
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Institution: Universiti Malaysia Sabah
Language: English
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spelling my.ums.eprints.255402020-07-01T03:47:27Z https://eprints.ums.edu.my/id/eprint/25540/ Performance analysis of the Level control with inverse response by using particle swarm optimization I. M. Chew Felisa Wong Awang Bono Jobrun Nandong K. I. Wong TK Electrical engineering. Electronics Nuclear engineering Boiler is an important utility system to support operations in the industry. The control of water level in the steam drum is a complicated task due to the non-minimum phase (NMP), which possibly will cause instability to the controlled water level in the steam drum. Process identification and controller design are difficult tasks for the steam drum because of non-minimum phase. Following the previous literature, this paper proposed process identification to 3rd order transfer function and optimization of Proportional-Integral-Derivative (PID) tunings of the water level by using Particle Swarm Optimization (PSO). A Graphical User Interface (GUI) has been developed to provide a direct platform to deal with these tasks. The result of PSO is compared with other tuning methods in terms of performance indicator and index. An analysis of the performance curve in 3-dimension graphs is also presented to visualize the output performance of various proportional and integral gain settings. The study has concluded that PSO provided better PI tunings for the best control of the Heat Exchanger function in the LOOP-PRO software. 2020 Conference or Workshop Item PeerReviewed text en https://eprints.ums.edu.my/id/eprint/25540/1/Performance%20analysis%20of%20the%20Level%20control%20with%20inverse%20response%20by%20using%20particle%20swarm%20optimization.pdf I. M. Chew and Felisa Wong and Awang Bono and Jobrun Nandong and K. I. Wong (2020) Performance analysis of the Level control with inverse response by using particle swarm optimization. In: Computational Science and Technology.
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
I. M. Chew
Felisa Wong
Awang Bono
Jobrun Nandong
K. I. Wong
Performance analysis of the Level control with inverse response by using particle swarm optimization
description Boiler is an important utility system to support operations in the industry. The control of water level in the steam drum is a complicated task due to the non-minimum phase (NMP), which possibly will cause instability to the controlled water level in the steam drum. Process identification and controller design are difficult tasks for the steam drum because of non-minimum phase. Following the previous literature, this paper proposed process identification to 3rd order transfer function and optimization of Proportional-Integral-Derivative (PID) tunings of the water level by using Particle Swarm Optimization (PSO). A Graphical User Interface (GUI) has been developed to provide a direct platform to deal with these tasks. The result of PSO is compared with other tuning methods in terms of performance indicator and index. An analysis of the performance curve in 3-dimension graphs is also presented to visualize the output performance of various proportional and integral gain settings. The study has concluded that PSO provided better PI tunings for the best control of the Heat Exchanger function in the LOOP-PRO software.
format Conference or Workshop Item
author I. M. Chew
Felisa Wong
Awang Bono
Jobrun Nandong
K. I. Wong
author_facet I. M. Chew
Felisa Wong
Awang Bono
Jobrun Nandong
K. I. Wong
author_sort I. M. Chew
title Performance analysis of the Level control with inverse response by using particle swarm optimization
title_short Performance analysis of the Level control with inverse response by using particle swarm optimization
title_full Performance analysis of the Level control with inverse response by using particle swarm optimization
title_fullStr Performance analysis of the Level control with inverse response by using particle swarm optimization
title_full_unstemmed Performance analysis of the Level control with inverse response by using particle swarm optimization
title_sort performance analysis of the level control with inverse response by using particle swarm optimization
publishDate 2020
url https://eprints.ums.edu.my/id/eprint/25540/1/Performance%20analysis%20of%20the%20Level%20control%20with%20inverse%20response%20by%20using%20particle%20swarm%20optimization.pdf
https://eprints.ums.edu.my/id/eprint/25540/
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