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Heat Transfer Research
Facteur d'impact: 0.404 Facteur d'impact sur 5 ans: 0.8 SJR: 0.264 SNIP: 0.504 CiteScore™: 0.88

ISSN Imprimer: 1064-2285
ISSN En ligne: 2162-6561

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Heat Transfer Research

DOI: 10.1615/HeatTransRes.v35.i34.120
20 pages

Robust Predictive Control of a Humidifying Process by Using the Kautz Model and LMI Approach

A. Mbarek
Unité de Recherche ATSI, Ecole Nationale d'Ingénieurs de Monastir, Rue Ibn EL Jazzar 5019 Monastir, Tunisia
K. Bouzrara
Ecole Nationale d'Ingenieurs de Monastir (ENIM) Rue Ibn El Jazzar, 5019 Monastir-Tunisia
T. Garna
Unité de Recherche ATSI, Ecole Nationale d'Ingénieurs de Monastir, Rue Ibn EL Jazzar 5019 Monastir, Tunisia
Hassani Messaoud
Research Unit ATSI, National School of Engineers of Monastir, University of Monastir, Rue Ibn El Jazzar, 5019 Monastir, Tunisia

RÉSUMÉ

This paper proposes a new robust predictive control algorithm based on the Kautz model the coefficients of which belong to an uncertainty domain. Two performance criteria (l1 and l) are optimized with respect to constraints resulting from boundedness measurements and those due to parameter uncertainties. The optimization problem is solved by using the LMI approach to provide the optimal future control sequence. The proposed algorithm is used to regulate the humidity inside a drying blower.


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