Sensor configuration problem : application to a membrane separation unit

Research output: Contribution to journalConference articleAcademicpeer-review

3 Citations (Scopus)

Abstract

For high performance model based control applications the state and parameter estimation algorithms are essential. Furthermore the accuracy of the resulting estimates highly depends on what is being measured. In this work we address the output channel selection problem by making use of the degree of observability measures defined by the observability gramians of the associated system and possible different sensor configurations. The observability gramians for large scale and nonlinear first principle models are difficult to compute. Instead the data based approximations, the empirical observability gramians, are constructed. The degree of observability measures are used for comparing the spectral properties of the observability gramians to decide the sensor configuration. The output channel selection procedure is applied to an industrial membrane filtration system.

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Observability
Membranes
Sensors
State estimation
Parameter estimation

Bibliographical note

Paper MoC1.1

Cite this

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title = "Sensor configuration problem : application to a membrane separation unit",
abstract = "For high performance model based control applications the state and parameter estimation algorithms are essential. Furthermore the accuracy of the resulting estimates highly depends on what is being measured. In this work we address the output channel selection problem by making use of the degree of observability measures defined by the observability gramians of the associated system and possible different sensor configurations. The observability gramians for large scale and nonlinear first principle models are difficult to compute. Instead the data based approximations, the empirical observability gramians, are constructed. The degree of observability measures are used for comparing the spectral properties of the observability gramians to decide the sensor configuration. The output channel selection procedure is applied to an industrial membrane filtration system.",
author = "M.B. Saltik and L. Ozkan and S. Weiland and {Van den Hof}, P.M.J.",
note = "Paper MoC1.1",
year = "2016",
month = "6",
doi = "10.1016/j.ifacol.2016.07.245",
language = "English",
volume = "49",
pages = "189--194",
journal = "IFAC-PapersOnLine",
issn = "2405-8963",
publisher = "Elsevier",
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}

Sensor configuration problem : application to a membrane separation unit. / Saltik, M.B.; Ozkan, L.; Weiland, S.; Van den Hof, P.M.J.

In: IFAC-PapersOnLine, Vol. 49, No. 7, 06.2016, p. 189-194.

Research output: Contribution to journalConference articleAcademicpeer-review

TY - JOUR

T1 - Sensor configuration problem : application to a membrane separation unit

AU - Saltik,M.B.

AU - Ozkan,L.

AU - Weiland,S.

AU - Van den Hof,P.M.J.

N1 - Paper MoC1.1

PY - 2016/6

Y1 - 2016/6

N2 - For high performance model based control applications the state and parameter estimation algorithms are essential. Furthermore the accuracy of the resulting estimates highly depends on what is being measured. In this work we address the output channel selection problem by making use of the degree of observability measures defined by the observability gramians of the associated system and possible different sensor configurations. The observability gramians for large scale and nonlinear first principle models are difficult to compute. Instead the data based approximations, the empirical observability gramians, are constructed. The degree of observability measures are used for comparing the spectral properties of the observability gramians to decide the sensor configuration. The output channel selection procedure is applied to an industrial membrane filtration system.

AB - For high performance model based control applications the state and parameter estimation algorithms are essential. Furthermore the accuracy of the resulting estimates highly depends on what is being measured. In this work we address the output channel selection problem by making use of the degree of observability measures defined by the observability gramians of the associated system and possible different sensor configurations. The observability gramians for large scale and nonlinear first principle models are difficult to compute. Instead the data based approximations, the empirical observability gramians, are constructed. The degree of observability measures are used for comparing the spectral properties of the observability gramians to decide the sensor configuration. The output channel selection procedure is applied to an industrial membrane filtration system.

U2 - 10.1016/j.ifacol.2016.07.245

DO - 10.1016/j.ifacol.2016.07.245

M3 - Conference article

VL - 49

SP - 189

EP - 194

JO - IFAC-PapersOnLine

T2 - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

SN - 2405-8963

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