Repository landing page

We are not able to resolve this OAI Identifier to the repository landing page. If you are the repository manager for this record, please head to the Dashboard and adjust the settings.
research
oaioai:idus.us.es:11441/80174

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

Authors
Publication date
1 February 2017
Publisher
'Institute of Electrical and Electronics Engineers (IEEE)'

Abstract

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 communitiesMinisterio de Economia y Competitividad TEC2016-78430-RConsejeria de Innovacion, Ciencia y Empresa (Junta de Andalucia) P11-TIC-707

Similar works

Full text

thumbnail-image

idUS. Depósito de Investigación Universidad de Sevilla

redirect
oaioai:idus.us.es:11441/80174
Last time updated on 16/11/2018

This paper was published in idUS. Depósito de Investigación Universidad de Sevilla.

Having an issue?

Is data on this page outdated, violates copyrights or anything else? Report the problem now and we will take corresponding actions after reviewing your request.