A robustly stabilizing model predictive control strategy of stable and unstable processes
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Márcio A.F. Martins [1] ; Darci Odloak [2]
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[1] Universidade Federal da Bahia
Universidade Federal da Bahia
Brasil
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[2] Universidade de São Paulo
Universidade de São Paulo
Brasil
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- Localización: Automatica: A journal of IFAC the International Federation of Automatic Control, ISSN 0005-1098, Vol. 67, 2016, págs. 132-143
- Idioma: inglés
- Texto completo no disponible (Saber más ...)
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Resumen
This paper deals with the development of a robust model predictive control strategy with guarantee of stability, applicable to the stable and unstable processes. The model uncertainty is assumed to be described by a discrete set of linear models (multi-plant uncertainty), and the robustness is achieved by assembling cost-contracting constraints for all the possible models in the uncertainty domain. On the basis of a suitable state-space model description, an offset free control law is obtained by means of a one-step optimization formulation. The usefulness of the method proposed here is illustrated with control simulations of an unstable reactor system taken from the literature.
