Robust Model Predictive Control for Systems Affected by Constant and Norm 2 Bounded Disturbances

Iulia-Cristina RĂDULESCU
Faculty of Automatic Control and Computers, The National University of Science and Technology
Politehnica Bucharest, 313 Splaiul Independenței, Bucharest, 060042, Romania
iulia.radulescu1702@yahoo.com

Abstract: This paper proposes a robust model predictive control approach for systems affected by two types of disturbances: a constant one and a norm 2 bounded one. Through several computations, the norm 2 bounded disturbance is removed from the control optimization problem which consists in minimizing a robust performance objective. The problem is then reduced to a convex one with constraints on the input. The simulation results indicate that the proposed method successfully manages to reject the system disturbances.

Keywords: Robust model predictive control, Robust performance objective, Linear matrix inequality, Bounded disturbance, Input constraint.

>>FULL TEXT: PDF

CITE THIS PAPER AS:
Iulia-Cristina RĂDULESCU, Robust Model Predictive Control for Systems Affected by Constant and Norm 2 Bounded Disturbances, Studies in Informatics and Control, ISSN 1220-1766, vol. 33(1), pp. 99-106, 2024. https://doi.org/10.24846/v33i1y202409