10.48317/IMIST.PRSM/MORJCHEM-V5I2.8501
DARMANE, Y.
Benqlilou, C.
Development of a feedforward system based neural networks for the control of a hydrometallurgical unit of cobalt
Moroccan Journal of Chemistry
2017
Cobalt hydrometallurgy, control feedforward, neural networks, risks of operability.
2017-04-05
2017-04-05
2017-04-25
2020-09-09
en
Article
24-599-8501
Mor. J. Chem. 5 N°2 (2017) 354-361 Pages
The application of a feedforward control system based on a model of artificial neural networks in the cobalt industry has made it possible to identify the neutralization step as a bottleneck. It results in a considerable reduction in productivity (20%) and an increase in cycle time of about 18%. It is important to note that this is mainly due to a high solid level in this neutralization step. The implementation of the FF-ANN control scheme made it possible to control the pH at its optimum value of 0.9. This regulation also made it possible to reduce the presence of a solid content of 31%, which consequently leads to control of cycle time and optimum production.
Moroccan Journal of Chemistry, Vol 5, No 2 (2017)