Minimum Realization Tuning Strategy for Dynamic Matrix Control

Abstract

In this paper autotuning and self-tuning methods for Dynamic Matrix Control (DMC) are presented with application to single-input single-output (SISO) processes which can be approximated by a first-order-plus-dead-time model. In order to validate the method a nonlinear control valve system described by a Wiener process is simulated. This process was identified by a Hammerstein model and controlled by DMC with output compensator. The proposed tuning methods have its performance compared to another standard method found in literature, showing more conservative results regarding smoothness of the control action while maintaining adequate performance on set-point tracking.