A new modulated model predictive current controller with reduced computational burden

Andrew, Euan T. and Ahmed, Khaled and Holliday, Derrick; (2021) A new modulated model predictive current controller with reduced computational burden. In: 2021 9th International Conference on Smart Grid (icSmartGrid). IEEE, Piscataway, NJ. ISBN 9781665445313 (https://doi.org/10.1109/icSmartGrid52357.2021.9551...)

[thumbnail of Andrew-etal-IEEE-ICSG-2021-A-new-modulated-model-predictive-current-controller]
Preview
Text. Filename: Andrew_etal_IEEE_ICSG_2021_A_new_modulated_model_predictive_current_controller.pdf
Accepted Author Manuscript
License: Strathprints license 1.0

Download (5MB)| Preview

Abstract

Model Predictive Control (MPC) has been widely used for grid connected converters, due to its rapid dynamic response and easy inclusion of system constraints and nonlinearities. Existing finite control set MPC approaches suffer from variable switching frequency, whilst existing modulated MPC implementations suffer from a high computational burden. This paper proposes a new implementation of modulated MPC which offers half the computational burden whilst retaining identical performance. The proposed method is applied to a two-level voltage source converter and its performance is compared to existing approaches in simulation. Experimental results are included to prove the reduced computational burden.

ORCID iDs

Andrew, Euan T. ORCID logoORCID: https://orcid.org/0000-0003-4808-0292, Ahmed, Khaled and Holliday, Derrick ORCID logoORCID: https://orcid.org/0000-0002-6561-4535;