A Mathematical Model for Control and Optimization of Industrial Rotary Alumina Kiln Process

Creating Control Systems for Sintering Processes in Tubular Rotary Kiln on Base Mathematical Model

We consider methods for modeling the temperature fields inside a rotary tubular kiln and in the lining of the oven. These models are used for creating a control system that supports the necessary technological parameters and reduces the heat loss through the kiln body to the environment. Two-dimensional modeling of the processes inside the kiln confirms the applicability of a unidimensional mod...

Intelligent control system of an industrial lime kiln process

In the face of strong competition, the pulp and paper industry is aiming at higher pro"tability through increased productivity and the reduction of costs. In addition, on the global scale the industry is facing increasing market demands for higher product quality, more specialty products and improved production #exibility and environmental protection. Consequently, extensive research is being c...

Performance Analysis of Pilot Rotary Kiln for Activated Carbon Manufacture, Using a Steady State Mathematical Model

−− The physical activation of charcoal from eucalyptus wood has produced excellent results in laboratory tests. The obtained activated carbons have good adsorbent properties with surface areas over 500 m/g, low density and moderate attrition resistance. The activation process is strongly endothermic and involves gasification of the carbonaceous char by oxidation with either water vapor or carbo...

Improved Optimization Process for Nonlinear Model Predictive Control of PMSM

Model-based predictive control (MPC) is one of the most efficient techniques that is widely used in industrial applications. In such controllers, increasing the prediction horizon results in better selection of the optimal control signal sequence. On the other hand, increasing the prediction horizon increase the computational time of the optimization process which make it impossible to be imple...

Reinforcement Learning-Based Supervisory Control Strategy for a Rotary Kiln Process