System identification of an interacting series process for real-time model predictive control
This paper presents the empirical modeling of the gaseous pilot plant which is a kind of interacting series process with presence of nonlinearities. In this study, the discrete-time identification approach based on subspace method with N4SID algorithm is applied to construct the state space model ar...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2009
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| Subjects: | |
| Online Access: | http://scholars.utp.edu.my/id/eprint/471/ http://scholars.utp.edu.my/id/eprint/471/1/paper.pdf |
| _version_ | 1848658995726778368 |
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| author | M.N., Karsiti T.C.S., Wibowo N., Saad |
| author_facet | M.N., Karsiti T.C.S., Wibowo N., Saad |
| author_sort | M.N., Karsiti |
| building | UTP Institutional Repository |
| collection | Online Access |
| description | This paper presents the empirical modeling of the gaseous pilot plant which is a kind of interacting series process with presence of nonlinearities. In this study, the discrete-time identification approach based on subspace method with N4SID algorithm is applied to construct the state space model around a given operating point, by probing the system in open-loop with variation of input signals. Three practical approaches are used and their performances are compared to obtain the most suitable approach for modeling of such a system. The models are also tested in the real-time implementation of a linear model predictive control. The selected model is able to well reproduce the main dynamic characteristics of gaseous pilot plant in open loop and produces zero steady-state errors in closed loop control system. Several issues concerning the identification process and the construction of MIMO state space model are discussed. © 2009 AACC.
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| first_indexed | 2025-11-13T07:23:23Z |
| format | Conference or Workshop Item |
| id | oai:scholars.utp.edu.my:471 |
| institution | Universiti Teknologi Petronas |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-13T07:23:23Z |
| publishDate | 2009 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:scholars.utp.edu.my:4712017-01-19T08:25:48Z http://scholars.utp.edu.my/id/eprint/471/ System identification of an interacting series process for real-time model predictive control M.N., Karsiti T.C.S., Wibowo N., Saad TK Electrical engineering. Electronics Nuclear engineering This paper presents the empirical modeling of the gaseous pilot plant which is a kind of interacting series process with presence of nonlinearities. In this study, the discrete-time identification approach based on subspace method with N4SID algorithm is applied to construct the state space model around a given operating point, by probing the system in open-loop with variation of input signals. Three practical approaches are used and their performances are compared to obtain the most suitable approach for modeling of such a system. The models are also tested in the real-time implementation of a linear model predictive control. The selected model is able to well reproduce the main dynamic characteristics of gaseous pilot plant in open loop and produces zero steady-state errors in closed loop control system. Several issues concerning the identification process and the construction of MIMO state space model are discussed. © 2009 AACC. 2009 Conference or Workshop Item NonPeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/471/1/paper.pdf M.N., Karsiti and T.C.S., Wibowo and N., Saad (2009) System identification of an interacting series process for real-time model predictive control. In: 2009 American Control Conference, ACC 2009, 10 June 2009 through 12 June 2009, St. Louis, MO. http://www.scopus.com/inward/record.url?eid=2-s2.0-70449640063&partnerID=40&md5=65767b2aefe9805894163de7267fb35b |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering M.N., Karsiti T.C.S., Wibowo N., Saad System identification of an interacting series process for real-time model predictive control |
| title | System identification of an interacting series process for real-time model predictive control
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| title_full | System identification of an interacting series process for real-time model predictive control
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| title_fullStr | System identification of an interacting series process for real-time model predictive control
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| title_full_unstemmed | System identification of an interacting series process for real-time model predictive control
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| title_short | System identification of an interacting series process for real-time model predictive control
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| title_sort | system identification of an interacting series process for real-time model predictive control |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://scholars.utp.edu.my/id/eprint/471/ http://scholars.utp.edu.my/id/eprint/471/ http://scholars.utp.edu.my/id/eprint/471/1/paper.pdf |