A Tracking Model Predictive Control for Input-Output LPV Systems using Parameter Extrapolation. Issue 35 (2022)

• Record Type: Journal Article
• Authors: Morato, Marcelo M.; Normey-Rico, Julio E.; Sename, Olivier
• Is Part Of: IFAC-PapersOnLine. Volume 55:Issue 35(2022)
• Page Start: 55
• Page End: 60
• Publication Date: 2022
• Subjects: Model Predictive Control -- Linear Parameter Varying Systems -- Input-Output Representation -- LMI -- Convex Optimisation -- Stability -- Performance; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2022.11.290
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: 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.