Phenomenological Based Soft Sensor for Online Estimation of Slurry Rheological Properties

  • Jenny L. Diaz C.Email author
  • Diego A. Muñoz
  • Hernan Alvarez
Research Article


This work proposes a soft sensor based on a phenomenological model for online estimation of the density and viscosity of a slurry flowing through a pipe-and-fittings assembly (PFA). The model is developed considering the conservation principle applied to mass and momentum transfer and considering frictional energy losses to include the variables directly affecting slurry properties. A reported proposal for state observers with unknown inputs is used to develop the first block of the observer structure. The second block is constructed with two options for evaluating slurry viscosity, generating two possible estimator structures, which are tested using real data. A comparison between them indicates different uses and capabilities according to available process information.


Soft sensor phenomenological based semi-physical model non-Newtonian fluids unknown input observer slurry flow 


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The authors thank Colciencias and SUMICOL (Suministros de Colombia S.A.) for their support and financing for this project.


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Copyright information

© Institute of Automation, Chinese Academy of Sciences and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Research Group of Dynamic ProcessesUniversidad Nacional de Colombia-Sede MedellínMedellínColombia
  2. 2.Mathematical Optimization of Processes, Centro de Ciencia BásicaUniversidad Pontificia BolivarianaMedellínColombia

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