Off-Line Method for Improving Robustness of Model Predictive Control Laws
- Authors
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Cristina Stoica
Department of Automatic Control, Supelec
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Pedro Rodríguez-Ayerbe
Department of Automatic Control, Supelec
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Didier Dumur
Department of Automatic Control, Supelec
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- Abstract
- This paper presents a unified off-line state-space methodology for enhancing the robustness of MPC controlled systems using the Youla parametrization. An initial stabilizing MPC controller is firstly designed in the state-space representation and further robustified off-line via LMI techniques to find the best trade-off between stability robustness and nominal performance. This robustification method, that represents the original contribution of the paper, is finally applied to the velocity control of an induction machine to reduce the influence of additive and multiplicative unstructured uncertainties, while respecting a time-domain template for disturbance rejection.
- References
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- Published
- 2007-12-31
- Issue
- Vol. 9 No. 3,4 (2007)
- Section
- Articles