A Simplified Finite-Control-Set Model-Predictive Control for Power Converters

• Published in: IEEE transactions on industrial informatics Vol. 10; no. 2; pp. 991 - 1002
• Main Authors: Xia, Changliang, Liu, Tao, Shi, Tingna, Song, Zhanfeng
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01-05-2014; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Circuit topology; Circuits; Converters; Cost function; Cycle time; Equations; Equivalence; Finite-control-set model-predictive control (FCS-MPC); Linear control; Mathematical model; power converter; Power converters; Prediction algorithms; sector distribution method; simplified algorithm; Stress concentration; Switches; Transformations; Vectors
• ISSN: 1551-3203; 1941-0050
• DOI: 10.1109/TII.2013.2284558

Finite-control-set model-predictive control (FCS-MPC) requires a large amount of calculation, which is an obstacle for its application. However, compared with the classical linear control algorithm, FCS-MPC requires a shorter control loop cycle time to reach the same control performance. To resolve this contradiction, this paper presents an effective method to simplify the conventional FCS-MPC. With equivalent transformation and specialized sector distribution method, the computation load of FCS-MPC is greatly reduced while the control performance is not affected. The proposed method can be used in various circuit topologies and cases with multiple constraints. Experiments on two-level converter and three-level NPC converter verify the good performance and application value of the proposed method.