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En este trabajo de investigacin se presenta la formulacin de un controlador prealimentado multivariable, diseado con la combinacin de las tecnologas de lgica difusa y redes neuronales con el propsito de mejorar el control de velocidad, potencia y temperatura de una Unidad Turbogas. Este control propuesto es usado en combinacin con el esquema existente de control convencional de una unidad turbogas, para integrar una estrategia de control hbrida prealimentada. El control prealimentado est compuesto por un sistema de inferencia difuso de mltiples entradas y una salida diseado con datos de entrada y salida de la unidad turbogas. El controlador retroalimentado est compuesto por controladores tipo PI convencionales existentes en este tipo de unidades. Con esta estrategia, el controlador prealimentado provee una mayor contribucin en la seal de control disminuyendo el esfuerzo de regulacin de los controladores PI convencionales y la fuerte interaccin que existe entre ellos. Los controladores PI retroalimentados aportan una menor seal de control utilizada para ajustes finos en la seal de control.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer,
birth defects, or other reproductive harm.
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⚠️ California Proposition 65 Warning: Some products sold on this website may expose you to chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm. For more information, visit www.P65Warnings.ca.gov.