Predictor de Smith con ganancia programada difusa para el control de la temperatura en un horno industrial de recalentamiento de barras de acero (Fuzzy Gain Scheduled Smith Predictor for Temperature Control in an Industrial Steel Slab Reheating Furnace)

Ivón Oristela Benítez González (ivonoristelabg@gmail.com)1, Raúl Rivas Pérez (rivas@electrica.cujae.edu.cu)1, Vicente Feliu Batlle (vicente.feliu@uclm.es)2, Luis Pastor Sánchez Fernández (lsanchez@cic.ipn.mx)3, Luis Alejandro Sánchez Pérez (l.alejandro.2011@gmail.com)3


1CUJAE
2UCLM
3IPN

This paper appears in: Revista IEEE América Latina

Publication Date: Nov. 2016
Volume: 14,   Issue: 11 
ISSN: 1548-0992


Abstract:
The steel industry is among the companies with highest energy consumption due to the heating processes in their production. Furnaces used for slabs reheating in this industry require a good regulator to control temperature in each zone optimizing combustible consumption. Considering the complex and variable dynamic behavior of furnace temperature, this paper proposes a modification of the Smith predictor scheme, combined with a gain scheduled fuzzy block idea, for controlling the soaking zone temperature in a steel slab-reheating furnace. For this purpose, a soaking zone temperature dynamic model is obtained from an identification procedure resulting in a second order plus time delay transfer function, where the dominant time delay varies with respect to the slab thickness. The performance of the proposed method is compared against the filtered Smith predictor and the classic one. The best results were obtained using the fuzzy gain-scheduled Smith predictor achieving a smooth transition in each operation point.

Index Terms:
steel slab reheating furnace, dominant varying time delay, Smith predictor, fuzzy gain scheduling modified Smith predictor   


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