Activated Sludge Processes State Estimation: A Nonlinear Moving Horizon Observer Approach

摘要

This paper deals with activated sludge processes state estimation using moving horizon approach. In order to decrease the high computing cost of searching the global minimum of the error criterion, a descent-like approach is used. An associated model is designed so as to respect a trade-off between model complexity and accuracy. The results point out the interest of this approach for this process and are sufficiently advanced to think to implement it further on a semi-industrial pilot plant.