Fuzzy Predictive Control of a Column Flotation Process
| Authors: | Vieira Susana, Technical University of Lisbon, Instituto Superior Tecnico, Portugal
Sousa João, Technical University of Lisbon, Instituto Superior Tecnico, Portugal
Durão Fernando, Technical University of Lisbon, Instituto Superior Tecnico, Portugal |
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| Topic: | 6.2 Mining, Mineral & Metal Processing |
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| Session: | Technology in Mining and Metal Processing Industry |
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| Keywords: | Fuzzy model, Model Predictive Control, Branch and bound. |
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Abstract
Column floatation processes are multivariable and complex systems. Model predictive control (MPC) is a model-based control strategy that has been applied to a large number of industrial processes, where a sequence of future control actions is computed by minimizing an objective function. Accurate nonlinear models using soft computing techniques are increasinglyeasingly being used in model based control. In this paper, MPC is applied to a column flotation process using a nonlinear fuzzy model. The process has four manipulating variables: feed flow rate, washing water, air and rejected flow rates. The outputs of this model are the froth layer height, the bias flow rate and the air holdup in the collection zone. The most important controlled variable is the froth layer height which in this workhas a very good performance.
