IMMPC: An Internal Model Based MPC for Rejecting Unknown Disturbances

Fuente: arXiv
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Autores principales: Brändle, Felix, Allgöwer, Frank
Formato: Preprint
Publicado: 2025
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author Brändle, Felix
Allgöwer, Frank
author_facet Brändle, Felix
Allgöwer, Frank
contents Model predictive control (MPC) is a powerful control method that allows to directly include state and input constraints into the controller design. However, errors in the model, e.g., caused by unknown disturbances, can lead to constraint violation, loss of feasibility and deteriorate closed-loop performance. In this paper, we propose a new MPC scheme based on the internal model principle. This enables the MPC to reject unknown disturbances provided that the dynamics of the linear signal generator are known. We reformulate the output regulation problem as a stability problem, to ensure feasibility, constraint satisfaction, and convergence to the optimal reachable setpoint. The controller is validated on a real fourtank system.
format Preprint
id arxiv_https___arxiv_org_abs_2512_05692
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle IMMPC: An Internal Model Based MPC for Rejecting Unknown Disturbances
Brändle, Felix
Allgöwer, Frank
Systems and Control
Model predictive control (MPC) is a powerful control method that allows to directly include state and input constraints into the controller design. However, errors in the model, e.g., caused by unknown disturbances, can lead to constraint violation, loss of feasibility and deteriorate closed-loop performance. In this paper, we propose a new MPC scheme based on the internal model principle. This enables the MPC to reject unknown disturbances provided that the dynamics of the linear signal generator are known. We reformulate the output regulation problem as a stability problem, to ensure feasibility, constraint satisfaction, and convergence to the optimal reachable setpoint. The controller is validated on a real fourtank system.
title IMMPC: An Internal Model Based MPC for Rejecting Unknown Disturbances
topic Systems and Control
url https://arxiv.org/abs/2512.05692