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A methodology to implement a closed-loop feedback-feedforward level control in a laboratory-scale flotation bank using peristaltic pumps

This paper describes the implementation of a level control strategy in a laboratory-scale flotation system. The laboratory-scale system consists of a bank of three flotation tanks connected in series, which mimics a flotation system found in mineral processing plants. Besides the classical feedback...

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Detalles Bibliográficos
Autores principales: Quintanilla, Paulina, Navia, Daniel, Moreno, Felipe, Neethling, Stephen J., Brito-Parada, Pablo R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9988547/
https://www.ncbi.nlm.nih.gov/pubmed/36896313
http://dx.doi.org/10.1016/j.mex.2023.102081
Descripción
Sumario:This paper describes the implementation of a level control strategy in a laboratory-scale flotation system. The laboratory-scale system consists of a bank of three flotation tanks connected in series, which mimics a flotation system found in mineral processing plants. Besides the classical feedback control strategy, we have also included a feedforward strategy to better account for process disturbances. Results revealed that the level control performance significantly improves when a feedforward strategy is considered. This methodology uses peristaltic pumps for level control, which has not been extensively documented even though: (1) peristaltic pumps are commonly used in laboratory-scale systems, and (2) the control implementation is not as straightforward as those control strategies that use valves. Therefore, we believe that this paper, which describes a proven methodology that has been validated in an experimental system, can be a useful reference for many researchers in the field. • Preparation of reagents to ensure that the froth stability of the froth layer is representative of an industrial flotation froth. • Calibration of instruments – convert the electrical signal from PLCs to engineering units. • Tuning PI parameters using SIMC rules by performing step-changes in each flotation cell.