14th IFAC Symposium on System Identification, SYSID 2006

SYSID-2006 Paper Abstract


Paper ThA4.6

Godoy, Boris I (The Univ. of Newcastle), Braslavsky, Julio H. (The Univ. of Newcastle), Mahata, Kaushik (Univ. of Newcastle)

Low Complexity Modelling and Parameter Estimation in Copper Bioleaching Processes

Scheduled for presentation during the Regular Session "Identification in Process Industry" (ThA4), Thursday, March 30, 2006, 12:10−12:30, Cummings Room

14th IFAC Symposium on System Identification, March 29 - 31, 2006, Newcastle, Australia

This information is tentative and subject to change. Compiled on July 22, 2018

Keywords Process Control, Recursive Identification, Identification for Control


In heap bioleaching, metal is dissolved from ore by a percolating solution, catalysed by naturally occurring bacteria. Increased interest in the technology motivated the development of accurate models of such process in recent years. In contrast, the utilisation of such models for control has received limited attention, given their high mathematical complexity. This paper presents a low complexity model aimed as the basis for control design. The model parameters are estimated using least squares on data generated by a high complexity, experimentally validated model provided by BHP Billiton Innovation. Simulation results indicate significant potential of the approach.