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Inicio Revista Iberoamericana de Automática e Informática Industrial RIAI Control predictor con ponderación de retardos: análisis de prestaciones y robu...
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Vol. 11. Núm. 2.
Páginas 155-166 (abril - julio 2014)
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3246
Vol. 11. Núm. 2.
Páginas 155-166 (abril - julio 2014)
Open Access
Control predictor con ponderación de retardos: análisis de prestaciones y robustez ante retardo variable
Weighted-delay predictor-based control: performance and robustness analysis with time-varying delay
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3246
Antonio Gonzáleza,
Autor para correspondencia
angonsor@gmail.com

Autor para correspondencia.
, Antonio Salab
a Université de Valenciennes et du Hainaut-Cambrésis, LAMIH (UMR CNRS 8201), Le Mont Houy, 59313 Valenciennes Cedex 9, Francia
b Instituto de Automática e Informática Industrial, Universitat Politècnica de Valencia, Cno. Vera s/n, E-46022 Valencia, España
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Resumen

Los controladores basados en predictor, en particular los obtenidos por métodos de asignación finita de espectro (también conocido como método de reducción), permiten abordar el control por realimentación del estado de sistemas con retardos constantes y conocidos a partir de un modelo equivalente transformado sin retardo. Sin embargo, si el retardo es variable o existen incertidumbres en el modelo del proceso no es posible compensar su efecto de forma exacta. Este trabajo propone utilizar un predictor con múltiples retardos ponderados, con unos pesos a determinar según un algoritmo iterativo. Con ello se probará que, dado un controlador ya diseñado para un proceso sin retardo, la estructura ponderada propuesta consigue mejores prestaciones y robustez que los predictores de horizonte único.

Palabras clave:
Retardo variable con el tiempo
Asignación Finita de Espectro
Método de reducción
Desigualdad matricial lineal
Abstract

Predictor-based controllers, in particular those obtained by Finite Spectrum Assignment (a.k.a. reduction) method, allow controlling systems with constant and known delays by using an equivalent delay-free model. However, if delay is time-varying or there exist uncertainties in the process model, delay e_ects cannot be exactly compensated. This work proposes a multiple weighted-delay predictor, where the weighting coe_cients are computed by an iterative algorithm. Then, it will be proved that, given a pre-existing controller designed for some delayfree process, the proposed scheme achieves better robustness and performance than single-horizon predictors.

Keywords:
Time-varying delay
Finite Spectrum Assignment
reduction method
Linear matrix inequality
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