Fuzzy Cognitive Maps and Fuzzy Logic applied in industrial processes control

In this work, we present intelligent controllers of two industrial processes. First, a first order heat exchanger (Heatex) is designed using a Fuzzy Logic based Controller (FLC) and a Fuzzy Cognitive Map based controller. The second process is a fourth-order alcoholic fermenter with two tuning mechanisms (FCM-PID and Fuzzy-PID) acting on proportional and derivative gains of a PID controller, adjusted heuristically through experts' knowledge. We analyzed the IAE and ISE errors, the settling time, the overshoot and control signals for both processes. The performance of the proposed intelligent controllers was compared to the original conventional controllers. The results revealed that the FLC's performance is comparable to the one of the conventional PI Heatex. However, in the case of the alcoholic fermenter process, the FCM-PID mechanism obtained the most satisfactory responses according to the analyzed parameters.