Article information
Resumen
Se desarrolla un esquema de Control Predictivo Generalizado (GPC) basado en un modelo neuronal del proceso, y se aplica en un reactor de neutralización de laboratorio. El modelo neuronal se obtiene previamente por identificación, y se linealiza en cada iteración del algoritmo de control. De esta manera se combina la capacidad de ajuste de la redes neuronales con la eficiencia de cálculo del GPC, consiguiéndose un sistema con las ventajas del control predictivo pero extendido a sistemas no lineales, que se comporta con precisión y rapidez ante perturbaciones.
Palabras clave:
Control Neuronal
Control Predictivo
Redes Neuronales
Linealización Instantánea
Control de pH
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