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Abel Rubio, Wilton Agila, Leandro González & Jonathan Aviles-Cedeno |
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Title |
Distributed Intelligence in Autonomous PEM Fuel Cell Control. |
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Journal Article |
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Year |
2023 |
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Energies 2023 |
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Vol. 16 |
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Issue 12 |
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19961073 |
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cidis @ cidis @ |
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217 |
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Author |
Byron Lima; Ricardo Cajo; Victor Huilcapi; Wilton Agila |
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Title |
Modeling and comparative study of linear and nonlinear controllers for rotary inverted pendulum |
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Conference Article |
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Year |
2017 |
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Journal of Physics: Conference Series |
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783 |
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The rotary inverted pendulum (RIP) is a problem difficult to control, several studies have been conducted where different control techniques have been applied. Literature reports that, although problem is nonlinear, classical PID controllers presents appropriate performances when applied to the system. In this paper, a comparative study of the performances of linear and nonlinear PID structures is carried out. The control algorithms are evaluated in the RIP system, using indices of performance and power consumption, which allow the categorization of control strategies according to their performance. This article also presents the modeling system, which has been estimated some of the parameters involved in the RIP system, using computer-aided design tools (CAD) and experimental methods or techniques proposed by several authors attended. The results indicate a better performance of the nonlinear controller with an increase in the robustness and faster response than the linear controller |
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English |
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English |
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gtsi @ user @ |
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69 |
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Author |
Wilton Agila; Victor M. Huilcapi |
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Title |
Lógica borrosa para la estimación de estados críticos de una pila de combustible PEM |
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Conference Article |
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Year |
2014 |
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Reconocimientos de Patrones, Control Inteligente y Comunicaciones (MACH 2014) |
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5 |
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Caracterización de pilas de combustible PEM, estado de inundación y deshidratación de la membrana polimérica, árbol de decisión borroso, control, lógica difusa |
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Abstract |
La determinación en tiempo real de los estados críticos de operación de la pila de combustible de membrana intercambio protónico (siglas en ingles, PEM) es uno de los principales retos para los sistemas de control de pilas de combustible PEM. En este trabajo, se presenta el desarrollo e implementación de un método no invasivo de bajo coste basado en técnicas de decisión borrosa que permite estimar los estados críticos de operación de la pila de combustible PEM. La estimación se realiza mediante perturbaciones al estado de operación de la pila y el análisis posterior de la evolución temporal del voltaje generado por la pila. La implementación de esta técnica de estimulación-percepción de estado de la pila de combustible para la detección de estados críticos constituye una novedad y un paso hacia el control autónomo en óptimas condiciones de la operación de las pilas de combustible PEM. |
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Universidad de Cuenca |
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Español |
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cidis @ cidis @ |
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31 |
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