Internal model control of thermo-optical plant

Abstract

In this paper a robust predictive neuro-fuzzy control method for a nonlinear plant is addressed, proposed and tested. A neuro-fuzzy model is used to identify the process and then provides predictions about the process behavior, based on control actions applied to the system. The paper consists of theoretical and practical section, offers an internal model control and a neuro-fuzzy internal model control designs and their successful application. The structure of both of algorithms is described in detail. The proposed control algorithms are applied to control of a thermo-optical plant.