# Real-time solution to quadratically constrained quadratic programs for predictive converter control

Z. Chen, R. Verschueren, S. Almér and G. Banjac

in IFAC World Congress, Berlin, Germany, July 2020.
BibTeX  URL

@inproceedings{Chen2020:IFAC,
author = {Z. Chen and R. Verschueren and S. Alm{\'e}r and G. Banjac},
title = {Real-time solution to quadratically constrained quadratic programs for predictive converter control},
booktitle = {IFAC World Congress},
year = {2020},
url = {https://doi.org/10.1016/j.ifacol.2020.12.252},
doi = {10.1016/j.ifacol.2020.12.252}
}


This paper considers the real-time implementation of MPC tailored to voltage source converters with inductive-capacitive filter. Previous work has shown that the nonlinear and nonconvex MPC problem can be equivalently formulated as a convex quadratically constrained quadratic program (QCQP). We develop two tailored algorithms based on the OSQP and HPIPM solvers to efficiently solve this QCQP. As the aforementioned solvers do not support quadratic constraints, we extend them so that they can solve QCQPs. We provide numerical comparison between the proposed methods and state-of-the-art solvers and show that our solvers are suitable for embedded applications.