@inproceedings{da4e5b62f7e24f23ae7858b219804abe,
title = "An improved active-front-end rectifier using model predictive control",
abstract = "This paper investigates an improved active-front-end (AFE) rectifier using model predictive control. The model predictive control (MPC) algorithm utilizes the discrete behavior of the power converter to determine the appropriate switching states by defining a cost function. The performance of the AFE rectifier has been verified with 3.0 kW experimental setup which shows that the efficiency of the MPC controlled AFE-rectifier is 96.82% and is operated with acceptable THD (4.0%) of input current and very low DC voltage ripple. An efficiency comparison is performed between the MPC and VOC-based PWM controller of the AFE rectifier which ensures the effectiveness of MPC controller. Moreover, the stability of the MPC method has been analyzed with the root locus, discrete z-domain frequency response techniques (Nyquist diagram) and non-linear experimental system. The result confirms that, the control system of AFE rectifier is stable as it operates with infinite gain margin and very fast dynamic response.",
keywords = "AC-DC power conversion, Active front end (AFE) rectifier, Model predictive control (MPC), Stability analysis",
author = "M. Parvez and S. Mekhilef and Tan, {Nadia M.L.} and Hirofumi Akagi",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 30th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2015 ; Conference date: 15-03-2015 Through 19-03-2015",
year = "2015",
month = may,
day = "8",
doi = "10.1109/APEC.2015.7104341",
language = "English",
series = "Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "May",
pages = "122--127",
booktitle = "APEC 2015 - 30th Annual IEEE Applied Power Electronics Conference and Exposition",
address = "United States",
edition = "May",
}