Augmented model based double iterative loop techniques for integrated system optimisation and parameter estimation of large scale industrial processes

Two novel hierarchical structures are presented which extend the applicability of previous model based double iterative loop techniques to non-convex problems. The methods incorporate integrated system optimisation and parameter estimation which utilizes process measurements to achieve real proce...

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Main Authors: Normah Abdullah, Brdys, M.A., Roberts, P.D.
Format: Article
Published: 1993
Online Access:http://journalarticle.ukm.my/1309/
http://journalarticle.ukm.my/1309/
id ukm-1309
recordtype eprints
spelling ukm-13092011-10-11T03:45:14Z http://journalarticle.ukm.my/1309/ Augmented model based double iterative loop techniques for integrated system optimisation and parameter estimation of large scale industrial processes Normah Abdullah, Brdys, M.A. Roberts, P.D. Two novel hierarchical structures are presented which extend the applicability of previous model based double iterative loop techniques to non-convex problems. The methods incorporate integrated system optimisation and parameter estimation which utilizes process measurements to achieve real process optimality inspite of model reality differences. The double iterative loop structures of the proposed algorithms use the real process measurement within the outer loops while the inner loops involve model based computation only. This means that the algorithms use available information from the real process efficiently and a significant reduction in set-point alterations to real subprocesses is achieved. In order to cater for process complexity the inner loops are organised in the form of two level hierarchical structures. The paper presents the convergence conditions of the augmented techniques and simulation examples are provided to illustrate and compare the methods 1993 Article PeerReviewed Normah Abdullah, and Brdys, M.A. and Roberts, P.D. (1993) Augmented model based double iterative loop techniques for integrated system optimisation and parameter estimation of large scale industrial processes. Jurnal Kejuruteraan, 5 . http://www.ukm.my/jkukm/index.php/jkukm
repository_type Digital Repository
institution_category Local University
institution Universiti Kebangasaan Malaysia
building UKM Institutional Repository
collection Online Access
description Two novel hierarchical structures are presented which extend the applicability of previous model based double iterative loop techniques to non-convex problems. The methods incorporate integrated system optimisation and parameter estimation which utilizes process measurements to achieve real process optimality inspite of model reality differences. The double iterative loop structures of the proposed algorithms use the real process measurement within the outer loops while the inner loops involve model based computation only. This means that the algorithms use available information from the real process efficiently and a significant reduction in set-point alterations to real subprocesses is achieved. In order to cater for process complexity the inner loops are organised in the form of two level hierarchical structures. The paper presents the convergence conditions of the augmented techniques and simulation examples are provided to illustrate and compare the methods
format Article
author Normah Abdullah,
Brdys, M.A.
Roberts, P.D.
spellingShingle Normah Abdullah,
Brdys, M.A.
Roberts, P.D.
Augmented model based double iterative loop techniques for integrated system optimisation and parameter estimation of large scale industrial processes
author_facet Normah Abdullah,
Brdys, M.A.
Roberts, P.D.
author_sort Normah Abdullah,
title Augmented model based double iterative loop techniques for integrated system optimisation and parameter estimation of large scale industrial processes
title_short Augmented model based double iterative loop techniques for integrated system optimisation and parameter estimation of large scale industrial processes
title_full Augmented model based double iterative loop techniques for integrated system optimisation and parameter estimation of large scale industrial processes
title_fullStr Augmented model based double iterative loop techniques for integrated system optimisation and parameter estimation of large scale industrial processes
title_full_unstemmed Augmented model based double iterative loop techniques for integrated system optimisation and parameter estimation of large scale industrial processes
title_sort augmented model based double iterative loop techniques for integrated system optimisation and parameter estimation of large scale industrial processes
publishDate 1993
url http://journalarticle.ukm.my/1309/
http://journalarticle.ukm.my/1309/
first_indexed 2023-09-18T19:32:58Z
last_indexed 2023-09-18T19:32:58Z
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