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Two-Vector FCS-MPC for Permanent-Magnet Synchronous Motors Based on Duty Ratio Optimization
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-05-31
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
The servo system of a permanent-magnet synchronous motor usually consists of current, speed, and position loops.
Compared with conventional PI control, finite-control-set model predictive control (FCS-MPC) has the advantage of fast response.
Conventional FCS-MPC relies on the precise parameters of system model and has large current ripple.
To address that problem, this paper proposed an improved FCS-MPC based on duty ratio optimization in synchronous rotating reference frame.
To get more precise voltage vector, the proposed FCS-MPC selects the optimal vector combination and, respectively, calculates the time duration.
Moreover, feedback correction is also applied to improve the robustness of the control strategy.
The simulation results validate the effectiveness of the algorithm.
American Psychological Association (APA)
Sheng, Long& Li, Dapeng& Ji, Yue. 2018. Two-Vector FCS-MPC for Permanent-Magnet Synchronous Motors Based on Duty Ratio Optimization. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1209538
Modern Language Association (MLA)
Sheng, Long…[et al.]. Two-Vector FCS-MPC for Permanent-Magnet Synchronous Motors Based on Duty Ratio Optimization. Mathematical Problems in Engineering No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1209538
American Medical Association (AMA)
Sheng, Long& Li, Dapeng& Ji, Yue. Two-Vector FCS-MPC for Permanent-Magnet Synchronous Motors Based on Duty Ratio Optimization. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1209538
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1209538