Simultaneous estimation of disturbance and process gain using moving horizon estimation for an oxygen converter gas recovery process

This paper proposes a method for simultaneous estimation of disturbance and process gain using moving horizon estimation for discrete-time, single-input, single-output, linear time-invariant processes. The strategy for the proposed adaptive disturbance estimator is to minimize a moving-horizon performance index which consist of quadratic forms of estimated output error and disturbances. Furthermore, we propose a recalculation method using two patterns of estimated values of disturbance and process gain for different two input signals. Through a numerical simulation for the approximated process model of an oxygen converter gas recovery process, the efficiency of the proposed method will be shown.