On PI-controller Parameters Adjustment for Rolling Mill Drive Current Loop Using Neural Tuner

Abstract

We consider a problem of an on-line tuning of linear controller parameters used for a rolling mill drive control. A neural tuner of PI-controller for current control loop is developed. It allows to adjust KP and KI according to armature winding parameters values change. Moreover, if initial values of controller parameters do not provide required transients quality, proposed system will tune them to solve this problem. A functional block diagram, a neural network structure, and a rule base are shown. Two sets of modelling experiments are conducted with a roll mill model. Obtained results show transients quality improvement in speed and current control loops. In addition to this, energy consumption of the control system with the tuner is lower by 1-2% comparing to conventional PI-controller basic system.