Effective optimization of controllers stabilizing closed circuit grinding systems of cement

The aim of the present study is to optimize PID controllers already working in cement mill installations (CM) by investigating the performance. The M-constrained Integral Gain Optimization (MIGO) method is implemented to compute the basic parameters set. The analysis is based on simulation of an actual cement mill using long term operational data. As optimization criterion the Integral of Absolute Error (IAE) is considered. The optimized PID is put in operation and the performance is evaluated.