Abstract
This paper describes the phases of identificatio a multivariable controller for use in an industrial plant, of the important output variables of a grinding circuit is hampered by the interaction between different variables, a generally not possible for these interactions to be elimin tional controllers.A pilot-plant study of a one-stage grinding circuit has sh control of a complex industrial circuit is feasible with a controller designed by the Inverse Nyquist Array method. This conclusion is further supported by a preliminary study carried out on tion of an industrial milling circuit in a gold extraction.The grinding circuit of the industrial plant, which consis mill and two pebble mills with classification by hydrocyclones, was fully instrumented, and a process-control computer was installed.Open-loop tests were carried out on the plant and the resu derivation of a dynamic model in the form of a matrix of transfer fuctions. The model was used to design a multivariable controller for the griding circuit.
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