BrainWave flotation
The solution for improving mineral recovery in flotation operations
Control stabilization with BrainWave
ANDRITZ BrainWave is a patented advanced controller that outperforms traditional Proportional-Integral-Derivative (PID) control because of its two main components: an adaptive model and a predictive controller. BrainWave builds its own live models during normal plant operations, a powerful feature not offered by traditional Model Predictive Control (MPC) systems.
BrainWave’s predictive controller accurately forecasts process responses and accounts for multiple objectives. It adapts to process conditions, such as changes in production rate, keeping the process on target. BrainWave can also accept measured disturbance inputs, like raw materials properties, and takes corrective action before the process is pushed off target (PID, by comparison, must wait for the error to occur, and then react).
BrainWave easily integrates with existing control systems and its patented Laguerre technology means an average implementation time of just a few weeks. Best of all, the plant’s own staff can support and deploy BrainWave.
Flotation cells at a mineral processing plant in Chile
Control stabilization for flotation areas
BrainWave flotation stabilizes the operation of all types of rougher, cleaner, and scavenger flotation cells. The result is more efficient operation and improved mineral recovery.
BrainWave is used to maintain the level in each of the flotation cells. By using its model-based predictive control algorithm, coupled with its unique integrating control algorithm, BrainWave will reduce the variability in the cell level control so that cell operation can be optimized. BrainWave is able to account for the level interaction between the cells by monitoring the flow control adjustments being made on the upstream side of the cell.
BrainWave can anticipate the effects of these changes on the cell level and take corrective action before the cell level is disturbed. It is also able to further improve the cell level control by using its feed-forward rejection feature to account for other process disturbances such as production rate or bubbler flow rate.
