Fuzzy based state observer of a solar trough field

The estimation of unobservable states of a process is important when using control techniques that assume, said a priori, known values. The controllers based on the state space present good behavior and efficiency, even when the dynamics of the process are non-linear. One of the processes with non-linear dynamics and in which not all the states are observable is the case of parabolic trough solar plants. In this work an observer is presented, based on a fuzzy inference system, for the estimation of the temperature profiles of the loops that make up the solar field. This is a English translation of an earlier work presented in the XXXIX Spanish workshop in Automatic Control [15].

I. Introduction

In the automatic control of industrial processes, the more information about the process is sent to the controller, the better the control will be.