Información del artículo
Resumen
Este trabajo muestra la aplicación de una estrategia de control predictivo llÚn-máx basado en modelos (Min-Max Model Predictive Control, MMMPC) a una planta piloto en la que se controla la temperatura de un reactor. Para calcular la acción de control se utiliza una aproximación del peor caso, que permite calcular una solución muy cercana a la del problema mín-máx con un coste computacional mucho menor. Por tanto, es un algoritmo cuya complejidad hace factible una implementación en tiempo real para valores típicos de los horizontes de predicción y control. El comportamiento del proceso y del controlador se ilustran mediante resultados experimentales.
Palabras clave:
control predictivo llÚn-máx
incertidumbres aditivas
planta piloto
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