An improved active-front-end rectifier using model predictive control

M. Parvez, S. Mekhilef, Nadia Mei Lin Tan, Hirofumi Akagi

Research output: Contribution to conferencePaper

19 Citations (Scopus)

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.

Original languageEnglish
Pages122-127
Number of pages6
DOIs
Publication statusPublished - 08 May 2015
Event30th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2015 - Charlotte, United States
Duration: 15 Mar 201519 Mar 2015

Other

Other30th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2015
CountryUnited States
CityCharlotte
Period15/03/1519/03/15

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All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

Parvez, M., Mekhilef, S., Tan, N. M. L., & Akagi, H. (2015). An improved active-front-end rectifier using model predictive control. 122-127. Paper presented at 30th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2015, Charlotte, United States. https://doi.org/10.1109/APEC.2015.7104341