Sensor configuration problem : application to a membrane separation unit

Onderzoeksoutput: Bijdrage aan tijdschriftCongresartikelAcademicpeer review

4 Citaten (Scopus)
29 Downloads (Pure)

Samenvatting

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.
Originele taal-2Engels
Pagina's (van-tot)189-194
Aantal pagina's6
TijdschriftIFAC-PapersOnLine
Volume49
Nummer van het tijdschrift7
DOI's
StatusGepubliceerd - jun 2016
Evenement11th IFAC International Symposium on Dynamics and Control of Process Systems, Including Biosystems (DYCOPS-CAB 2016) - Trondheim, Noorwegen
Duur: 6 jun 20168 jun 2016
Congresnummer: 11
http://dycops2016.org/

Bibliografische nota

Paper MoC1.1

Vingerafdruk Duik in de onderzoeksthema's van 'Sensor configuration problem : application to a membrane separation unit'. Samen vormen ze een unieke vingerafdruk.

Citeer dit