Model Predictive Control for Power Converters and Drives: Advances and Trends | IEEE Journals & Magazine | IEEE Xplore

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


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 devel...Show More

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 communities.
Published in: IEEE Transactions on Industrial Electronics ( Volume: 64, Issue: 2, February 2017)
Page(s): 935 - 947
Date of Publication: 03 November 2016

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