Multi-variable industrial processes identification: Case of bubbling fluidized bed sewage sludge incinerator

Regarding the new standards and environmental legislation, the research area of automatic bioprocesses is in sharp increase. This aims at improving performance of biological treatment processes. Facing the growth of urban wastewater treatment plants and toxic quality of sewage sludge, the incineration represents one of the potential methods that manage the large amount of generated sludge and reduce toxicity. In this goal, the daily operating cycle treatment and the implementation mechanisms have increased the need to take measures in order to analyse and control the effluents incineration variables. In this research, we present an identification model related to a sewage sludge incineration process based on subspace N4SID algorithms. As a result, a mathematical model has been developed and simulation output data were compared with real incineration measurement.