Optimal parametric sensitivity control for a FED batch reactor

J.D. Stigter; K.J. Keesman

doi:10.23919/ecc.2001.7076362

Optimal parametric sensitivity control for a FED batch reactor

J.D. Stigter, K.J. Keesman

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Academic › peer-review

2 Citations (Scopus)

Abstract

The paper presents a method to derive an optimal parametric sensitivity controller for optimal estimation of a set of parameters in an experiment. The method is demonstrated for a fed batch bio-reactor case study for optimal estimation of the saturation constant K_s and, albeit intuitively, the parameter combination μ_maxX/Y where μ_max is the maximum growth rate [g/min], Y is the yield coefficient [g/g], and X is the (constant) biomass [g].

Original language	English
Title of host publication	2001 European Control Conference, ECC 2001
Publisher	IEEE
Pages	2841-2844
ISBN (Print)	9783952417362
DOIs	https://doi.org/10.23919/ecc.2001.7076362
Publication status	Published - 31 Mar 2015
Event	6th European Control Conference, ECC 2001 - Porto, Portugal Duration: 4 Sept 2001 → 7 Sept 2001

Conference/symposium

Conference/symposium	6th European Control Conference, ECC 2001
Country/Territory	Portugal
City	Porto
Period	4/09/01 → 7/09/01

Keywords

Bio-technical Processes
Control and Optimization
Identification Methods
Identification of Non-Linear Systems

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10.23919/ecc.2001.7076362

Cite this

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title = "Optimal parametric sensitivity control for a FED batch reactor",

abstract = "The paper presents a method to derive an optimal parametric sensitivity controller for optimal estimation of a set of parameters in an experiment. The method is demonstrated for a fed batch bio-reactor case study for optimal estimation of the saturation constant Ks and, albeit intuitively, the parameter combination μmaxX/Y where μmax is the maximum growth rate [g/min], Y is the yield coefficient [g/g], and X is the (constant) biomass [g].",

keywords = "Bio-technical Processes, Control and Optimization, Identification Methods, Identification of Non-Linear Systems",

author = "J.D. Stigter and K.J. Keesman",

year = "2015",

month = mar,

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doi = "10.23919/ecc.2001.7076362",

language = "English",

isbn = "9783952417362",

pages = "2841--2844",

booktitle = "2001 European Control Conference, ECC 2001",

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address = "United States",

note = "6th European Control Conference, ECC 2001 ; Conference date: 04-09-2001 Through 07-09-2001",

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T1 - Optimal parametric sensitivity control for a FED batch reactor

AU - Stigter, J.D.

AU - Keesman, K.J.

PY - 2015/3/31

Y1 - 2015/3/31

N2 - The paper presents a method to derive an optimal parametric sensitivity controller for optimal estimation of a set of parameters in an experiment. The method is demonstrated for a fed batch bio-reactor case study for optimal estimation of the saturation constant Ks and, albeit intuitively, the parameter combination μmaxX/Y where μmax is the maximum growth rate [g/min], Y is the yield coefficient [g/g], and X is the (constant) biomass [g].

AB - The paper presents a method to derive an optimal parametric sensitivity controller for optimal estimation of a set of parameters in an experiment. The method is demonstrated for a fed batch bio-reactor case study for optimal estimation of the saturation constant Ks and, albeit intuitively, the parameter combination μmaxX/Y where μmax is the maximum growth rate [g/min], Y is the yield coefficient [g/g], and X is the (constant) biomass [g].

KW - Bio-technical Processes

KW - Control and Optimization

KW - Identification Methods

KW - Identification of Non-Linear Systems

U2 - 10.23919/ecc.2001.7076362

DO - 10.23919/ecc.2001.7076362

M3 - Conference paper

AN - SCOPUS:84947484263

SN - 9783952417362

SP - 2841

EP - 2844

BT - 2001 European Control Conference, ECC 2001

PB - IEEE

T2 - 6th European Control Conference, ECC 2001

Y2 - 4 September 2001 through 7 September 2001

ER -

Optimal parametric sensitivity control for a FED batch reactor

Abstract

Conference/symposium

Keywords

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Cite this