Volumen 5 No. especial (2014) - MATCH'14: Congreso de Reconocimiento de Patrones, Control Inteligente y Comunicaciones
Permanent URI for this collectionhttps://dspace-test.ucuenca.edu.ec/handle/123456789/21328
Browse
Browsing Volumen 5 No. especial (2014) - MATCH'14: Congreso de Reconocimiento de Patrones, Control Inteligente y Comunicaciones by Subject "Control"
Now showing 1 - 2 of 2
- Results Per Page
- Sort Options
Item Control HSMC para regulación de glucosa sanguínea(Universidad de Cuenca, 2014) Darío Rojas, Rubén; Universidad de Cuenca; Dirección de Investigación de la Universidad de Cuenca; DIUCThis article proposes a new strategy of control based on continue measurements of glucose and a habituating sliding mode controller (HSMC). The HSMC is developed combining the sliding mode control law and the principles of habituating control. The HSMC applied to the regulation of blood glucose in the intensive care unit, includes both intravascular glucose and insulin infusion inputs to provide the nutrition supply and to improve the rejection to disturbances. The simulation based study (in silico), using a physiological model of the dynamic glucose-insulin, shows that proposed control strategy works properly. Finally, the performance of the proposed controller and a standard PID controller are compared.Item 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; DIUCThe 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.
