Performance-Based Tuning for a Model Predictive Direct Power Control in a Grid-Tied Converter With L-Filter
Description
This repository contains data, codes, and supplementary materials related to the article "Performance-Based Tuning for a Model Predictive Direct Power Control in a Grid-Tied Converter With L-Filter."
Files
Steps to reproduce
The data supporting the findings of this study are publicly available in the "Model Predictive Control with Modulation Using Performance Maps for a Grid-Tied VSC with L-Filter" at "https://ieeexplore.ieee.org/document/10019260". In this work, a direct power model predictive control (MPC-DPC) with modulation is applied to a grid-connected power converter with an inductive filter. The controller tuning is performed in two stages: initially, a standard setup is defined based on the converter's nominal configuration, followed by the analysis of the closed-loop poles to ensure stability. The performance refinement is done through performance maps, built from simulations of the control system, where both the predictive model time horizons and the weight factors of the cost function are adjusted simultaneously. Experimental results from a low-power bench demonstrate the excellent performance of the designed controller, which not only follows but also outperforms the classical proportional-integral (PI) controller and other advanced control techniques. Reproduction can be done using MATLAB/Simulink with the configurations detailed in the article.
Institutions
- Universidade Federal do ABC
Categories
Funders
- National Council for Scientific and Technological DevelopmentBrazilGrant ID: 405757/2018-2 and Grant 407867/2022-8