Title :
Fuzzy observer based predictive control of an activated sludge depollution bioprocess
Author :
Bouharkat, Meriem ; Ramdani, Mohammed
Author_Institution :
Lab. d´Autom. et Signaux de Annaba, Univ. Badji-Mokhtar de ANNABA, Annaba, Algeria
Abstract :
This paper uses a model predictive controller for nonlinear wastewater process described by Takagi-Sugeno model. An approach to design MPC based on fuzzy Kalman filter (FKF) has been proposed. The aim of this suggested method is solving a depollution control problem with controlling two reactant concentrations with two control inputs. Simulation results on the mentioned bioprocess show the performance of the designed controller.
Keywords :
Kalman filters; control system synthesis; fuzzy control; observers; predictive control; sludge treatment; wastewater treatment; water pollution control; FKF; MPC design; Takagi-Sugeno model; activated sludge depollution bioprocess; controller design; depollution control problem; fuzzy Kalman filter; fuzzy observer; model predictive controller; nonlinear wastewater process; reactant concentration control; Biological system modeling; Kalman filters; Mathematical model; Observers; Predictive control; Predictive models; Vectors; Fuzzy Kalman filter; MPC; State estimation; Takagi-Sugeno fuzzy model; Wastewater treatment;
Conference_Titel :
Control, Decision and Information Technologies (CoDIT), 2013 International Conference on
Conference_Location :
Hammamet
Print_ISBN :
978-1-4673-5547-6
DOI :
10.1109/CoDIT.2013.6689550
