The Forming of the Adaptive Process Control of Iron Ore Degradation in Conditions of Characteristics Uncertainty

Abstract

The article presents the results of the analysis of the methods of the automatic control of the technological process of iron ore disintegration in conditions of iron-ore raw material characteristics and technological process parameters uncertainty. The articles and works about the principles of mill control and the methods of the shredding analysis were analyzed. The analysis the library of adaptive controllers is represented. The model of the ball mill was created in the simulation environment MATLAB / Simulink. In this work are represented the principles of using the PID controller, the work of adaptive controllers based on the Ziegler-Nichols methods. The results of using the adaptive controllers based on differential filtering component with usage of Tastin approximation (Ziegler-Nichols controller with D-component filtration) and the methods of rectangular and trapezoidal discrete sampling are represented. The results of the simulation show that the adaptive Ziegler-Nichols controller for the 3-order processes based on differential filtering component with usage of Tastin approximation is the most efficient controller for the control of the grinding process of the various types of iron-ore raw material. Comparing to the classical PID-controller it provides the smaller measure of inaccuracy, which is 0.01%-0.81%. This controller provides the following results: overshoot – 16.7, the installation of the transition process – 69.5 seconds.