Real-Time Validation of Quadratic Regression Model-Based Predictive Control of Grid-Side Converters
Conference: PCIM Europe 2023 - International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management
05/09/2023 - 05/11/2023 at Nürnberg, Germany
doi:10.30420/566091327
Proceedings: PCIM Europe 2023
Pages: 8Language: englishTyp: PDF
Authors:
Bandy, Kristof Gabor; Stumpf, Peter Pal; Chowdhury, MD Moshiur Rahman; Suto, Zoltan (Department of Automation and Applied Informatics, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, Budapest, Hungary)
Abstract:
A quadratic regression model-based predictive control method is presented for grid-side converters. The control scheme calculates the cost function for seven voltage vectors of the inverter and extends it to the entire modulation region using regression. Then a constrained optimization problem must be solved to find the most feasible control action in this continuous control space. The found optimal voltage vector can be generated using Pulse-Width Modulation methods. The control method is validated in a custom Hardware-in-the-Loop environment using model-based rapid-prototyping tools of Matlab/Simulink. Measurement results show the viability of the method.