STATE OBSERVERS FOR FOOD INDUSTRY WASTEWATER TREATMENT PROCESSES

摘要

The paper deals with the state estimation for wastewater treatment processes with activated sludge. In the paper deterministic and stochastic observers were developed. As the models describing the wastewater treatment processes are nonlinear, the extended version of these estimation algorithms was used. A comparative study of the two estimation methods based on the examination of the acquired results and on the implementation complexity of the algorithms was made. The estimation algorithms designed in the paper have been validated based on the data supplied by a pilot plant used for the biological treatment of the wastewaters from food industry.