Semantic Scholar Open Access 2017 1456 sitasi

Model Predictive Control for Power Converters and Drives: Advances and Trends

S. Vazquez José R. Rodríguez M. Rivera L. Franquelo M. Norambuena

Lihat Sumber DOI

Abstrak

Model predictive control (MPC) is a very attractive solution for controlling power electronic converters. The aim of this paper is to present and discuss the latest developments in MPC for power converters and drives, describing the current state of this control strategy and analyzing the new trends and challenges it presents when applied to power electronic systems. The paper revisits the operating principle of MPC and identifies three key elements in the MPC strategies, namely the prediction model, the cost function, and the optimization algorithm. This paper summarizes the most recent research concerning these elements, providing details about the different solutions proposed by the academic and industrial communities.

Topik & Kata Kunci

Computer Science Engineering

Penulis (5)

S. Vazquez

José R. Rodríguez

M. Rivera

L. Franquelo

M. Norambuena

Format Sitasi

APA MLA BibTeX

Vazquez, S., Rodríguez, J.R., Rivera, M., Franquelo, L., Norambuena, M. (2017). Model Predictive Control for Power Converters and Drives: Advances and Trends. https://doi.org/10.1109/TIE.2016.2625238

Akses Cepat

Lihat di Sumber doi.org/10.1109/TIE.2016.2625238

Informasi Jurnal

Tahun Terbit: 2017
Bahasa: en
Total Sitasi: 1456×
Sumber Database: Semantic Scholar
DOI: 10.1109/TIE.2016.2625238
Akses: Open Access ✓