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A Novel Formulation of Economic Model Predictive Control for Periodic Operations

 

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Opened Access A Novel Formulation of Economic Model Predictive Control for Periodic Operations
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Author: Wang, Ye
Muñoz de la Peña Sequedo, David
Puig, Vicenç
Cembrano, Gabriela
Department: Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática
Date: 2018
Published in: 2018 European Control Conference (ECC) (2018), p 1015-1020
ISBN/ISSN: 978-3-9524-2698-2
Document type: Presentation
Abstract: This paper proposes a novel formulation of economic model predictive control (MPC) for linear systems with periodic operations. In this economic MPC design, the optimal periodic trajectory from an economic point of view is unknown, hence it is not possible to follow a standard control strategy in which the MPC uses this trajectory to define a terminal constraint to guarantee closed-loop convergence. The economic cost function is optimized with a periodicity constraint at each time step considering all periodic trajectories in a period including the current state. The recursive feasibility and closed-loop convergence to the optimal periodic trajectory are analyzed using the Karush-Kuhn-Tucker conditions. Finally, two simulations are provided to demonstrate the main results.
Cite: Wang, Y., Muñoz de la Peña Sequedo, D., Puig, V. y Cembrano, G. (2018). A Novel Formulation of Economic Model Predictive Control for Periodic Operations. En 2018 European Control Conference (ECC) (1015-1020), Limassol, Chipre: IEEE.
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URI: https://hdl.handle.net/11441/87283

DOI: 10.23919/ECC.2018.8550297

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