Real-Time Solution to Quadratically Constrained Quadratic Programs for Predictive Converter Control

被引:0
|
作者
Chen, Zhe [1 ]
Verschueren, Robin
Almeer, Stefan [2 ]
Banjac, Goran [3 ]
机构
[1] Ecole Polytech Fed Lausanne, Lausanne, Switzerland
[2] ABB Corp Res, Baden, Switzerland
[3] Swiss Fed Inst Technol, Zurich, Switzerland
来源
IFAC PAPERSONLINE | 2020年 / 53卷 / 02期
关键词
Predictive control; Embedded systems; Inverters; Efficient algorithms; Operator splitting method; Riccati-based interior-point method;
D O I
10.1016/j.ifacol.2020.12.252
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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 non-convex 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. Copyright (C) 2020 The Authors.
引用
收藏
页码:13436 / 13441
页数:6
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