Quality index predictive model based on improved population balance model(PBM), optimization model
guaranteeing process optimum operation and a dynamic optimization control scheme based on feedback correction are
developed. Firstly, the optimal control laws are derived from the optimization model, and the production quality index
feedback correction is employed for eliminating the effects of disturbances and other uncertainties of the grinding and
classification process. The optimal control laws are compensated and adjusted by the intelligent control unit according
to the differences between the values of the feedback obtained by workers and the desired quality indices. Field experiments
show that the production quality of the process is improved, and power saving and energy conservation are realized.