Dynamic process modeling and hybrid intelligent control of ethylene copolymerization in gas phase catalytic fluidized bed reactors

BACKGROUND: Polyethylene (PE) is the most extensively consumed plastic in the world, and gas phase-based processes are widely used for its production owing to their flexibility. The sole type of reactor that can produce PE in the gas phase is the fluidized bed reactor (FBR), and effective modeling a...

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Main Authors: Abbasi, Mohammad Reza, Shamiri, Ahmad, Hussain, Mohd Azlan, Aghay Kaboli, Seyed Hamidreza
Format: Article
Published: Wiley 2019
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Online Access:http://eprints.um.edu.my/24242/
https://doi.org/10.1002/jctb.6022
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spelling my.um.eprints.242422021-02-10T02:51:51Z http://eprints.um.edu.my/24242/ Dynamic process modeling and hybrid intelligent control of ethylene copolymerization in gas phase catalytic fluidized bed reactors Abbasi, Mohammad Reza Shamiri, Ahmad Hussain, Mohd Azlan Aghay Kaboli, Seyed Hamidreza TK Electrical engineering. Electronics Nuclear engineering TP Chemical technology BACKGROUND: Polyethylene (PE) is the most extensively consumed plastic in the world, and gas phase-based processes are widely used for its production owing to their flexibility. The sole type of reactor that can produce PE in the gas phase is the fluidized bed reactor (FBR), and effective modeling and control of FBRs are of great importance for design, scale-up and simulation studies. This paper discusses these issues and suggests a novel advanced control structure for these systems. RESULTS: A unified process modeling and control approach is introduced for ethylene copolymerization in FBRs. The results show that our previously developed two-phase model is well confirmed using real industrial data and is exact enough to further develop different control strategies. It is also shown that, owing to high system nonlinearities, conventional controllers are not suitable for this system, so advanced controllers are needed. Melt flow index (MFI) and reactor temperature are chosen as vital variables, and intelligent controllers were able to sufficiently control them. Performance indicators show that advanced controllers have a superior performance in comparison with conventional controllers. CONCLUSION: Based on control performance indicators, the adaptive neuro-fuzzy inference system (ANFIS) controller for MFI control and the hybrid ANFIS–proportional-integral-differential (PID) controller for temperature control perform better regarding disturbance rejection and setpoint tracking in comparison with conventional controllers. © 2019 Society of Chemical Industry. © 2019 Society of Chemical Industry Wiley 2019 Article PeerReviewed Abbasi, Mohammad Reza and Shamiri, Ahmad and Hussain, Mohd Azlan and Aghay Kaboli, Seyed Hamidreza (2019) Dynamic process modeling and hybrid intelligent control of ethylene copolymerization in gas phase catalytic fluidized bed reactors. Journal of Chemical Technology and Biotechnology, 94 (8). pp. 2433-2451. ISSN 0268-2575 https://doi.org/10.1002/jctb.6022 doi:10.1002/jctb.6022
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic TK Electrical engineering. Electronics Nuclear engineering
TP Chemical technology
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
TP Chemical technology
Abbasi, Mohammad Reza
Shamiri, Ahmad
Hussain, Mohd Azlan
Aghay Kaboli, Seyed Hamidreza
Dynamic process modeling and hybrid intelligent control of ethylene copolymerization in gas phase catalytic fluidized bed reactors
description BACKGROUND: Polyethylene (PE) is the most extensively consumed plastic in the world, and gas phase-based processes are widely used for its production owing to their flexibility. The sole type of reactor that can produce PE in the gas phase is the fluidized bed reactor (FBR), and effective modeling and control of FBRs are of great importance for design, scale-up and simulation studies. This paper discusses these issues and suggests a novel advanced control structure for these systems. RESULTS: A unified process modeling and control approach is introduced for ethylene copolymerization in FBRs. The results show that our previously developed two-phase model is well confirmed using real industrial data and is exact enough to further develop different control strategies. It is also shown that, owing to high system nonlinearities, conventional controllers are not suitable for this system, so advanced controllers are needed. Melt flow index (MFI) and reactor temperature are chosen as vital variables, and intelligent controllers were able to sufficiently control them. Performance indicators show that advanced controllers have a superior performance in comparison with conventional controllers. CONCLUSION: Based on control performance indicators, the adaptive neuro-fuzzy inference system (ANFIS) controller for MFI control and the hybrid ANFIS–proportional-integral-differential (PID) controller for temperature control perform better regarding disturbance rejection and setpoint tracking in comparison with conventional controllers. © 2019 Society of Chemical Industry. © 2019 Society of Chemical Industry
format Article
author Abbasi, Mohammad Reza
Shamiri, Ahmad
Hussain, Mohd Azlan
Aghay Kaboli, Seyed Hamidreza
author_facet Abbasi, Mohammad Reza
Shamiri, Ahmad
Hussain, Mohd Azlan
Aghay Kaboli, Seyed Hamidreza
author_sort Abbasi, Mohammad Reza
title Dynamic process modeling and hybrid intelligent control of ethylene copolymerization in gas phase catalytic fluidized bed reactors
title_short Dynamic process modeling and hybrid intelligent control of ethylene copolymerization in gas phase catalytic fluidized bed reactors
title_full Dynamic process modeling and hybrid intelligent control of ethylene copolymerization in gas phase catalytic fluidized bed reactors
title_fullStr Dynamic process modeling and hybrid intelligent control of ethylene copolymerization in gas phase catalytic fluidized bed reactors
title_full_unstemmed Dynamic process modeling and hybrid intelligent control of ethylene copolymerization in gas phase catalytic fluidized bed reactors
title_sort dynamic process modeling and hybrid intelligent control of ethylene copolymerization in gas phase catalytic fluidized bed reactors
publisher Wiley
publishDate 2019
url http://eprints.um.edu.my/24242/
https://doi.org/10.1002/jctb.6022
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