Fuzzy Logic Applied at Industrial Roasters in the Temperature Control

This paper presents an approach of temperature control in coffee roasters inserted in an industrial environment by using intelligent systems. The control is based on fuzzy logic. The linguistic variables of input and output and their respective membership functions, which will be used in the implementation of control system were created based on the experience of human operators. The fuzzy controller can be applicable to systems which have no adequate methodology for its control, due for instance, the difficulty or impossibility of obtaining a mathematical model that adequately describes the process. In this specific application, simulation results showed the feasibility of using a fuzzy controller for providing reference signals for PID controllers, thereby increasing operational efficiency of the process.