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Pré-Publication, Document De Travail Année : 2022

A Tracking Model Predictive Control for Input-Output LPV Systems using Parameter Extrapolation

Résumé

This paper presents a novel Model Predictive Control (MPC) algorithm for Linear Parameter Varying (LPV) systems represented in the Input-Output (IO) form. The proposed MPC is derived using estimates for the future scheduling parameter trajectory, made viable through a recursive Taylor-based extrapolation law. The method also includes explicit integral action, which, coupled with quadratic terminal ingredients, enables offset-free reference tracking and asymptotic IO stability. A numeric benchmark example is used to illustrate the advantages of the proposed method, as well as its real-time capabilities.
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Dates et versions

hal-03714308 , version 1 (05-07-2022)

Identifiants

  • HAL Id : hal-03714308 , version 1

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Marcelo Menezes Morato, Julio E Normey-Rico, Olivier Sename. A Tracking Model Predictive Control for Input-Output LPV Systems using Parameter Extrapolation. 2022. ⟨hal-03714308⟩
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