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

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...

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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
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Abstract	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.
AbstractList	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.
Author	Tingna Shi Zhanfeng Song Changliang Xia Tao Liu
Author_xml	– sequence: 1 givenname: Changliang surname: Xia fullname: Xia, Changliang – sequence: 2 givenname: Tao surname: Liu fullname: Liu, Tao – sequence: 3 givenname: Tingna surname: Shi fullname: Shi, Tingna – sequence: 4 givenname: Zhanfeng surname: Song fullname: Song, Zhanfeng
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Snippet	Finite-control-set model-predictive control (FCS-MPC) requires a large amount of calculation, which is an obstacle for its application. However, compared with...
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SubjectTerms	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
Title	A Simplified Finite-Control-Set Model-Predictive Control for Power Converters
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