Implementación y analisis de rendimiento de un control industrial de nivel para tanques con fluidos, basado en lógica difusa

Abstract

A fuzzy logic algorithm was developed using sets for multiple inputs and outputs to have a control system that provides an improved performance in the control of the rotational speed and opening of a pump and a modulating valve compared to the current control systems of pumps, which are based on conventional PID control algorithms. In the proposed approach, a fuzzy algorithm was developed, it is a control system that is able to provide a rejection response to disturbances and a satisfactory quote when the monitoring approaches the reference functioning. The drawbacks in fuzzy logic algorithms, together with its tuning strategy in different operating points, can be solved by applying fuzzy controllers, which use sets and rules based on the experience gained from an operating plant. An analysis of both control systems, the PID and fuzzy algorithm, was carried out. Also the adjustment mechanisms of both control systems were tested and mutually compared. To this end not only simulation results of the plant, but also actual data were collected. The research yielded a fuzzy controller offering a more effective strategy to control the plant, avoiding abrupt peaks and actions in the operation, which most probably shall enhance the lifetime of the plant components.