Design of an Estimator-Based Predictive Functional Control for Ramp Disturbance Suppression

Abstract

We propose a state estimator-based ramp disturbance suppression technique for the predictive functional control (PFC). On the basis of the augmented system including both the plant and disturbance states, we build a predictiontype estimator for the augmented model which estimates the ramp disturbance as well as the plant states. The state estimator enables us to compute the optimal control input sequence in the presence of ramp disturbances. Also, analyzing the structure of the proposed PFC system and controller poles, we prove that the estimator-based PFC system has actually two integral actions. Finally, numerical simulation tests are conducted to check the effectiveness of the proposed method.