Motivated by an energy efficient building application, we want to optimize a quadratic cost functional subject to the Boussinesq approximation of the Navier-Stokes equations and to bilateral state and control constraints. Since the computation of such an optimal solution is numerically costly, we design an efficient strategy to compute a sub-optimal (but applicationally acceptable) solution with significantly reduced computational effort. We employ an economic Model Predictive Control (MPC) strategy to obtain a feedback control. The MPC sub-problems are based on a linear-quadratic optimal control problem subjected to mixed control and state constraints and a convection-diffusion equation, reduced with proper orthogonal decomposition. To solve each sub-problem, we apply a primal-dual active set strategy. The method can be fully parallelized, which enables the solution of large problems with real-world parameters.
@article{arxiv.2101.04343,
title = {Parallelized POD-based Suboptimal Economic Model Predictive Control of a State-Constrained Boussinesq approximation},
author = {Julian Andrej and Lars Grüne and Luca Mechelli and Thomas Meurer and Simon Pirkelmann and Stefan Volkwein},
journal= {arXiv preprint arXiv:2101.04343},
year = {2021}
}