Using computational intelligence in biomass combustion control in medium-scale boilers

From a control point of view, the biomass combustion is extremely complex process with significant dynamic couplings among variables and a number of measurable and non-measurable disturbances. The relationships among these variables are usually highly non-linear with long time-delays. Therefore, it is often necessary to use computational intelligence methods in modeling and control of biomass combustion process. In the paper there are described some approaches to combustion process control in medium-scale biomass-fired boilers. The computational intelligence methods were used for boiler output water temperature control and correction of fuel supply and amounts of primary and secondary air supplied into the boiler combustion chamber according to trends of carbon monoxide emissions.