Performance evaluation of the fast model predictive control scheme on a CO2 capture plant through absorption/stripping system

The Classical Model Predictive Control (CMPC) has the drawback of slow response in complex dynamic systems. In this work, the Fast Model Predictive Control (FMPC), which accelerates the computation time through the fragmental solution of a complex quadratic program (QP), is investigated as a possibl...

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Main Authors: Sultan, T., Zabiri, H., Shahbaz, M., Maulud, A.S.
Format: Article
Published: Institution of Chemical Engineers 2022
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119700112&doi=10.1016%2fj.psep.2021.11.018&partnerID=40&md5=5db4df409eab487bcc542f4bc853214c
http://eprints.utp.edu.my/28922/
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spelling my.utp.eprints.289222022-03-16T08:43:14Z Performance evaluation of the fast model predictive control scheme on a CO2 capture plant through absorption/stripping system Sultan, T. Zabiri, H. Shahbaz, M. Maulud, A.S. The Classical Model Predictive Control (CMPC) has the drawback of slow response in complex dynamic systems. In this work, the Fast Model Predictive Control (FMPC), which accelerates the computation time through the fragmental solution of a complex quadratic program (QP), is investigated as a possible alternative to control the standard CO2 capture plant using MEA with various step changes. Aspen PLUS® and MATLAB® a are utilized to implement the control strategy. The study concluded that the FMPC controller has an average settling time of 51.42 s for all step changes, which is 74.8 faster than the CMPC. The average IAE value for FMPC was approximately 0.1307 which is 59 times smaller than the CMPC controller. Additionally, the ISE and ITSE values demonstrated much improved outcomes for the FMPC controller. The offsets for the FMPC are maintained at negligible levels through suitable tunning since offsets are the main hurdle observed when the FMPC controller is implemented on chemical process systems. © 2021 Institution of Chemical Engineers Institution of Chemical Engineers 2022 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119700112&doi=10.1016%2fj.psep.2021.11.018&partnerID=40&md5=5db4df409eab487bcc542f4bc853214c Sultan, T. and Zabiri, H. and Shahbaz, M. and Maulud, A.S. (2022) Performance evaluation of the fast model predictive control scheme on a CO2 capture plant through absorption/stripping system. Process Safety and Environmental Protection, 157 . pp. 218-236. http://eprints.utp.edu.my/28922/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description The Classical Model Predictive Control (CMPC) has the drawback of slow response in complex dynamic systems. In this work, the Fast Model Predictive Control (FMPC), which accelerates the computation time through the fragmental solution of a complex quadratic program (QP), is investigated as a possible alternative to control the standard CO2 capture plant using MEA with various step changes. Aspen PLUS® and MATLAB® a are utilized to implement the control strategy. The study concluded that the FMPC controller has an average settling time of 51.42 s for all step changes, which is 74.8 faster than the CMPC. The average IAE value for FMPC was approximately 0.1307 which is 59 times smaller than the CMPC controller. Additionally, the ISE and ITSE values demonstrated much improved outcomes for the FMPC controller. The offsets for the FMPC are maintained at negligible levels through suitable tunning since offsets are the main hurdle observed when the FMPC controller is implemented on chemical process systems. © 2021 Institution of Chemical Engineers
format Article
author Sultan, T.
Zabiri, H.
Shahbaz, M.
Maulud, A.S.
spellingShingle Sultan, T.
Zabiri, H.
Shahbaz, M.
Maulud, A.S.
Performance evaluation of the fast model predictive control scheme on a CO2 capture plant through absorption/stripping system
author_facet Sultan, T.
Zabiri, H.
Shahbaz, M.
Maulud, A.S.
author_sort Sultan, T.
title Performance evaluation of the fast model predictive control scheme on a CO2 capture plant through absorption/stripping system
title_short Performance evaluation of the fast model predictive control scheme on a CO2 capture plant through absorption/stripping system
title_full Performance evaluation of the fast model predictive control scheme on a CO2 capture plant through absorption/stripping system
title_fullStr Performance evaluation of the fast model predictive control scheme on a CO2 capture plant through absorption/stripping system
title_full_unstemmed Performance evaluation of the fast model predictive control scheme on a CO2 capture plant through absorption/stripping system
title_sort performance evaluation of the fast model predictive control scheme on a co2 capture plant through absorption/stripping system
publisher Institution of Chemical Engineers
publishDate 2022
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119700112&doi=10.1016%2fj.psep.2021.11.018&partnerID=40&md5=5db4df409eab487bcc542f4bc853214c
http://eprints.utp.edu.my/28922/
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