Publication
A novel formulation of economic model predictive control for periodic operations
Conference Article
Conference
European Control Conference (ECC)
Edition
17th
Pages
1015-1020
Doc link
https://doi.org/10.23919/ECC.2018.8550297
File
Authors
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Wang, Ye
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Muñoz de la Peña, David
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Puig Cayuela, Vicenç
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Cembrano Gennari, Gabriela
Projects associated
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.
Categories
control theory.
Scientific reference
Y. Wang, D. Muñoz, V. Puig and G. Cembrano. A novel formulation of economic model predictive control for periodic operations, 17th European Control Conference, 2018, Cyprus, pp. 1015-1020.
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