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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/804949

Title
A model-based feedback control strategy for heap bioleaching processes
Author/Creator
Godoy, Boris I.;  Braslavsky, Julio H.;  Aguero, Juan C.
Description
In this paper we propose a feedback control strategy to increase the copper recovery in a heap bioleaching process. The control strategy is implemented using internal model control based on a multivariable linear state-space model obtained by the maximum likelihood method. The linear model describes the variations of the average temperature around a nominal trajectory. This trajectory is obtained as the response to nominal inputs that have been proved to work well in real leaching applications, and is computed using a comprehensive high complexity mathematical model developed by BHP Billiton Innovation. The results show that significant increments in copper extraction can be obtained using limited control actions with the proposed feedback strategy.
Relation
46th IEEE Conference on Decision and Control, 2007. Proceedings of the 46th IEEE Conference on Decision and Control (New Orleans, LA 12-14 December, 2007) p. 1850-1855
Publisher Link
http://dx.doi.org/10.1109/CDC.2007.4434575
Date
2007
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Keyword(s)
comprehensive high complexity mathematical model;  heap bioleaching processes;  internal model control;  maximum likelihood method;  model-based feedback control strategy;  multivariable linear state-space model;  nominal trajectory
Resource Type
conference paper
Identifier
http://hdl.handle.net/1959.13/804949
Identifier
ISBN:9781424414970
Identifier
ISSN:0191-2216
Language
eng
Reviewed
Reviewed
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"A model-based feedback control strategy for heap bioleaching processes"
 
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