Design of a soft sensor for the estimation of oil temperature in Parabolic Solar Collector
Autor: | Mohamed Sghir Boucherit, Charaf Abdelkarim Mosbah, Mohamed Tadjine, Aissa Rebai |
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Rok vydání: | 2017 |
Předmět: |
0209 industrial biotechnology
Discretization Computer science 02 engineering and technology Soft sensor Computer Science Applications 020901 industrial engineering & automation Control theory Modeling and Simulation System parameters 0202 electrical engineering electronic engineering information engineering State space 020201 artificial intelligence & image processing Electrical and Electronic Engineering Instrumentation Oil temperature |
Zdroj: | Flow Measurement and Instrumentation. 53:326-334 |
ISSN: | 0955-5986 |
DOI: | 10.1016/j.flowmeasinst.2017.01.009 |
Popis: | The soft sensors are instrumental in inaccessible variables measurement. In this contribution, we present a new method for soft sensor design in order to estimate the temperature of oil flowing inside a pipe in Parabolic Solar Collector. The challenge in the achievement of this objective consists in the complexity of the PDE model governing temperature's evolution. To overcome this problem, an approach based on spatial discretization is adopted to provide an equivalent uncertain state space which describes accurately the original model. Subsequently, based on the uncertain model, the soft sensor is synthesized. Finally, the assessment of the proposed design is carried out through simulation tests by using real system parameters. |
Databáze: | OpenAIRE |
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