Model Predictive Control constitutes an important element of any modern control system.
There is growing interest in this technology. More and more advanced predictive structures …

Controlling the combustion process is a very complex issue. The difficulty of operation of
such process consists in the mutual interference effects of chemical, physical (mainly …

Model predictive control (MPC) technology has been well developed and successfully
applied in the refinery and petrochemical process industries over the last 20years. Recent …

This paper presents methodology and results of a research project on software optimization
of combustion process efficiency in coal-fired power plant. The general goal of this project …

The premise for the exploration of new sensors and methods of diagnostics of the
combustion process are the difficulties encountered during the implementation of low …

In pulverised coal (PC) burners that are most widespread in Poland an individual air excess
ratio rules an amount of pollution generated, yet there is a lack of method that allows …

The majority of processes in chemical industry is nonlinear. However we often take
advantage of linear approximation and analysis as the useful simplification. Nonetheless …

Burning pulverized coal in power boilers causes considerable emission of atmospheric
pollution. In order to decrease it, the combustion process itself has been modified, however …

The article presents an optimization method of combustion process in a power boiler.
Immune Inspired Optimizer SILO is used to minimize CO and NOx emission. This solution is …

Abstract Model predictive control (MPC) teclmology has been well developed and
successfully applied in the refinery and petrochemical process industries over last 20 years …