Identificación de sistemas en lazo cerrado basada en una estrategia híbrida AGA-Simplex

R.F. Tanda, A. Aguado


La identificación de sistemas continuos en lazo cerrado, que puede ser enfocada como un problema de optimización no lineal, puede resultar de difícil solución mediante métodos convencionales. En este artículo se presenta una estrategia híbrida basada en un Algoritmo Genético Adaptable y el método Simplex, que resulta en una solución satisfactoria para dicho problema. Se compara la propuesta con otras técnicas reportadas en la literatura. Tres ejemplos exponen el desempeño del método: identificación de una dinámica de orden elevado; identificación de una dinámica de segundo orden inestable en lazo abierto; y estimación de parámetros en sistemas de generación eléctrica. Los resultados de simulación muestran que la propuesta es un método robusto para la identificación de sistemas en lazo cerrado.

Palabras clave

Algoritmos de optimización; Algoritmos Genéticos; Estimación de parámetros; Identificación en lazo cerrado

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