An UKF-based Extremum Seeking Control of Two-Stage Anaerobic Digestion Process

In this paper, the Unscented Kalman Filter (UKF) is used in the Extremum Seeking Control (ESC) framework to deal with nonlinear system optimization problem. Compared with the classical ESC algorithm, the UKF-based ESC algorithm can reduce the amplitude of the disturbance signal and eliminate the steady-state oscillation. Applying the novel ESC algorithm to two-stage anaerobic digestion model, more accurate real-time gradient estimation and faster control convergence have been obtained in comparison with use of the classical ESC algorithm.