Data-Driven Design of Predictive Functional Control Based Feed -Forward Disturbance Rejection Controller

Many large-scale multi-input multi-output systems are treated as a combination of single-input single-output systems in reality. At such times, interference from input signals not focused is regarded as observable disturbances. For observable disturbances, feed-forward controllers are effective in rejecting the influence. A simple feed-forward controller construction is a combination of transfer functions of controlled and disturbance systems. This paper proposes an extension of the simple feed-forward controller and its parameter-tuning method. The controller is designed based on a Predictive Functional Controller (PFC), one of the Model Predictive Control (MPC). The effectiveness of the proposed scheme is verified by some simulation examples.