Model based predictive control (MPC) with constraints applied to a multi-predictor scheme for linear delayed systems with an unstable pole

https://doi.org/10.58571/CNCA.AMCA.2023.041

Resumen: In the present work, a model based predictive control (MPC) strategy using a multi-predictor scheme for unstable high-order linear systems with delay is proposed. The stability analysis of this type of systems is difficult due to two main reasons, the appearance of an infinite number of poles when the feedback of the controller is considered and the second reason, is the delay size considered. In this work the use of a digital multi-predictor scheme is proposed, this device allows to estimate the internal variables of the process, which will be used for the design of the MPC to stabilize the plant. The present proposal considers an MPC with constraints in the control and output variables, which it is one of the most attractive features of this strategy. Numerical simulations are presented to illustrate how the efficiency of the system is increased due to the proposed control approach.

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Urquiza Castro, Alejandro; Barragan Bonilla, Luis Alberto; Marquez-Rubio, J. Francisco; Del Muro Cuéllar, Basilio. Model based predictive control (MPC) with constraints applied to a multi-predictor scheme for linear delayed systems with an unstable pole. Memorias del Congreso Nacional de Control Automático, pp. 375-380, 2023. https://doi.org/10.58571/CNCA.AMCA.2023.041

Palabras clave

Control de Sistemas Lineales; Control Óptimo; Sistemas Discretos

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