Model predictive control of a rotary cement kiln

A first principles model of a cement kiln is used to control and optimize the burning of clinker in the cement production process. The model considers heat transfer between a gas and a feed state via convection and radiation. Furthermore, it contains effects such as chemical reactions, feed transport, energy losses and energy input. A model predictive controller is used to stabilize a temperature profile along the rotary kiln, guarantee good combustion conditions and maximize production. Moving horizon estimation was used for online estimation of selected model parameters and unmeasured states. Results from the pilot site are presented.

Research Highlights
► Application of model predictive control for the cement clinker production.
► First principle modeling approach of a rotary cement kiln for control purposes.
► State and parameter estimation by moving horizon estimation for the cement production.
► Performance comparison of manual and automatic control of a rotary cement kiln.