Adaptive fuzzy controllers for the optimization of a chiller system Controladores fuzzy adaptativos para la optimización de un sistema chiller

Abstract

The chiller systems are vapor compression cycles used in industrial and residential applications, operated a classical control and inadequate under energy consumption point of view. The experimental work, development in the Energy and Thermal System Laboratory of Federal University of Uberlandia (UFU), investigates some advantages of the use of variable speed compressor and electronic expansion valves focusing on energy consumption reduction and increase of the coefficient of performance, (COP) of these chillers systems. In these conditions, a proposed model experimentally based on experimental planning techniques, applying tools of answer surfaces. This model allows the estimative of the dynamic behavior of the compressor frequency to contribute in the control mesh applying adaptative fuzzy strategies, showing a good performance on the system, searching a minimum degree of superheating in the order of the 7°C and reaching on the bests COP zones.