Algorithm for dynamic cone crusher control
Artikel i vetenskaplig tidskrift, 2009
Cone crushers are used in the mineral, mining, and aggregate industry for fragmentation of rock materials.
Control systems for cone crusher settings are widely used for compensating for wear and protecting
the machines from high pressure. However, these systems focus on the crusher and not the crushed products.
By applying measurement devices on the process the crusher can be run optimally from the saleable
products point of view (unlike most existing systems which only protect the machine) in each time.
The measurement devices can be mass flow meters, e.g. conveyor belt scales. To analyze data from the
process and convert them to a desired CSS value, an algorithm was developed.
The developed algorithm is tested and evolved at a real crushing plant for aggregates. The algorithm
was loaded into a computer which could communicate with the crusher control system, read data from
three mass flow meters, and also interact with the operators. The computer was reachable over the Internet
by the researchers at Chalmers and the algorithm was tuned and improved on-line.
The result is an algorithm which was capable of providing CSS set-points to the automatic setting regulation
system. The amount of saleable product from the crushing stage improved 3.5%, when not limited
by the hydraulic pressure, compared to when a fixed closed side setting is used. The use of the algorithm
automatically compensates for changes in the feed material and it also decreases the need for calibration
of the underlying system.
Crushing Process control Process optimisation On-line analysis Process instrumentation