An EKF based estimation scheme for sedimentation processes in vessels using EIT-type measurement data

Sedimentation is usually parameterized by settling curves, settling velocities and the concentration of the constituent layers. The estimation of sedimentation parameters leads to useful information in the fields of environmental and industrial engineering. This paper presents an extended Kalman filter (EKF) based dynamic estimation scheme to extract sedimentation parameters from electrical impedance tomography (EIT) measurements obtained across the electrodes attached to the walls of a process vessel. A state evolution model has been developed for three-layer sedimentation based on the solids flux theory for batch sedimentation. The performance of the proposed method has been verified by carrying out numerical experiments.