Two-step procedure for data-based modeling for inferential control applications

Raja Amirthalingam; Su Whan Sung; Jay H. Lee

doi:10.1002/aic.690461010

Two-step procedure for data-based modeling for inferential control applications

Raja Amirthalingam
, Su Whan Sung
, Jay H. Lee

Purdue University
ProSys, Inc.
Georgia Institute of Technology

Research output: Contribution to journal › Article › peer-review

30 Scopus citations

Abstract

A two-step procedure for building an inferential control model, which uses both historical operation data and plant test data, is proposed. Motivation for using the two types of data is given, and a systematic way to combine them in the model-identification step is proposed. Some potential problems associated with the procedure in practice and their solutions are discussed. The efficacy of the procedure is demonstrated in a case study involving a multicomponent distillation column simulated in HYSYS.

Original language	English
Pages (from-to)	1974-1988
Number of pages	15
Journal	AIChE Journal
Volume	46
Issue number	10
DOIs	https://doi.org/10.1002/aic.690461010
State	Published - Oct 2000

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10.1002/aic.690461010

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title = "Two-step procedure for data-based modeling for inferential control applications",

abstract = "A two-step procedure for building an inferential control model, which uses both historical operation data and plant test data, is proposed. Motivation for using the two types of data is given, and a systematic way to combine them in the model-identification step is proposed. Some potential problems associated with the procedure in practice and their solutions are discussed. The efficacy of the procedure is demonstrated in a case study involving a multicomponent distillation column simulated in HYSYS.",

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N2 - A two-step procedure for building an inferential control model, which uses both historical operation data and plant test data, is proposed. Motivation for using the two types of data is given, and a systematic way to combine them in the model-identification step is proposed. Some potential problems associated with the procedure in practice and their solutions are discussed. The efficacy of the procedure is demonstrated in a case study involving a multicomponent distillation column simulated in HYSYS.

AB - A two-step procedure for building an inferential control model, which uses both historical operation data and plant test data, is proposed. Motivation for using the two types of data is given, and a systematic way to combine them in the model-identification step is proposed. Some potential problems associated with the procedure in practice and their solutions are discussed. The efficacy of the procedure is demonstrated in a case study involving a multicomponent distillation column simulated in HYSYS.

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DO - 10.1002/aic.690461010

M3 - Article

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JO - AIChE Journal

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Two-step procedure for data-based modeling for inferential control applications

Abstract

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