Browsing by Author "Agila, Wilton E."

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    Implementación y analisis de rendimiento de un control industrial de nivel para tanques con fluidos, basado en lógica difusa
    (Universidad de Cuenca, 2014) Ampuño, Gary; Agila, Wilton E.; Cevallos, Holger; Universidad de Cuenca; Dirección de Investigación de la Universidad de Cuenca
    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.
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    Lógica borrosa para la estimación de estados críticos de una pila de combustible PEM
    (Universidad de Cuenca, 2014) Agila, Wilton E.; Huilcapi, Victor M.; Universidad de Cuenca; Dirección de Investigación de la Universidad de Cuenca; DIUC
    The real time determination of the critical states of operation of the fuel cell proton exchange membrane (acronym in English, PEM) is one of the main challenges for the control systems of PEM fuel cells. In this paper, the development and implementation of a non-invasive low cost method based on fuzzy decision techniques to estimate the critical states of operation of the PEM fuel cell is presented. The estimation is performed by perturbations of the state of operation of PEM fuel cell and the subsequent analysis of the temporal evolution of the voltage generated by the cell. The implementation of this stimulation-perceived technique of the state of fuel cell for the detection of critical states is a novelty and a step towards autonomous control in optimal operation of PEM fuel cells.