Computer Based Input-Output Modelling For Autogenous Mill Control

Computer based signal processing techniques for obtaining empirical dynamic models from measured mill circuit data are discussed. This modelling is the first step towards designing a particle size control strategy. Experimental data from a computerized acquisition sys tern is examined and analysed, and a number of model identification procedures are applied. The resulting models are compared and a suitable model is selected, illustrating the benefits of computer tools for control system design.