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Mathematical Problems in Engineering
Volume 2014, Article ID 351814, 9 pages
http://dx.doi.org/10.1155/2014/351814
Research Article

An Observer-Based Finite Control Set Model Predictive Control for Three-Phase Power Converters

1School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, China
2Tianjin Key Laboratory of Advanced Technology of Electrical Engineering and Energy, Tianjin Polytechnic University, Tianjin 300387, China

Received 3 April 2014; Accepted 22 May 2014; Published 7 July 2014

Academic Editor: Piermarco Cannarsa

Copyright © 2014 Tao Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Finite control set model predictive control (FCS-MPC) for three-phase power converters uses a discrete mathematical model of the power converter to predict the future current value for all possible switching states. The circuit parameters and measured input currents are necessary components. For this reason, parameter error and time delay of current signals may degrade the performance of the control system. In the previous studies of the FCS-MPC, few articles study these aspects in detail and almost no method is proposed to avoid these negative influences. This paper, first, investigates the negative impacts of inductance inaccuracy and AC-side current distortion due to the time delay caused by filter on FCS-MPC system. Then, it proposes an observer-based FCS-MPC approach with which the inductance error can be corrected, the current signal’s time delay caused by filter can be compensated, and therefore the performance of FCS-MPC will be improved. At last, as an example, it illustrates the effectiveness of the proposed approach with experimental testing results for a power converter.