Real-time solution to quadratically constrained quadratic programs for predictive converter control
| Autor: | Zhe Chen, Robin Verschueren, Goran Banjac, Stefan Alméer |
|---|---|
| Přispěvatelé: | Findeisen, Rolf, Hirche, Sandra, Janschek, Klaus, Mönnigmann, Martin |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Quadratic growth
0209 industrial biotechnology Quadratically constrained quadratic program Mathematical optimization Computer science Embedded systems Riccati-based interior-point method 020208 electrical & electronic engineering Regular polygon 02 engineering and technology Inverters Converters Predictive control Efficient algorithms Operator splitting method Nonlinear system 020901 industrial engineering & automation Quadratic equation Control and Systems Engineering Filter (video) 0202 electrical engineering electronic engineering information engineering Voltage source |
| Zdroj: | IFAC-PapersOnLine, 53 (2) 21th IFAC World Congress. Proceedings |
| ISSN: | 2405-8963 |
| DOI: | 10.3929/ethz-b-000461403 |
| Popis: | 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. IFAC-PapersOnLine, 53 (2) ISSN:2405-8963 21th IFAC World Congress. Proceedings |
| Databáze: | OpenAIRE |
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