Computation-Efficient Model Predictive Control Using Sphere Decoding Algorithm for DTP-PMSMs

Extending the prediction horizon for finite control set model predictive control (FCS-MPC) has shown its advantages on steady-state performance and current distortions. However, its inherently high computational burden brought barriers to implement. Hence, a scheme of sphere decoding algorithm-MPC (...

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Bibliographic Details
Published in:IEEE transactions on magnetics Vol. 60; no. 10; pp. 1 - 5
Main Authors: Chen, Jian, Zhang, Zhen, Niu, Zhenyong, Zeng, Shunqi, Han, Ruixue, Wu, Yitong, Chang, Siyuan
Format: Journal Article
Language:English
Published: New York IEEE 01.10.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Costs
Decoding
Harmonic analysis
Low computation burden
model predictive control
Permanent magnet motors
permanent magnet synchronous motor (PMSM)
Permanent magnets
Prediction algorithms
Predictive control
Search algorithms
sphere decoding
Switches
Synchronous motors
ISSN:0018-9464, 1941-0069
Online Access:Get full text
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Summary:Extending the prediction horizon for finite control set model predictive control (FCS-MPC) has shown its advantages on steady-state performance and current distortions. However, its inherently high computational burden brought barriers to implement. Hence, a scheme of sphere decoding algorithm-MPC (SDA-MPC) with preliminary election is proposed for the calculation efficiency and harmonic suppression. The experimental prototype is developed and implemented for dual three phase permanent magnet synchronous motor (DTP-PMSM). Experimental results well agree with the theoretical analysis. In particular, the proposed SDA-MPC scheme significantly reduced the average turnaround time by 21% compared with the exhaustive search algorithm (ESA) under the single step. Moreover, it reduced the ripple in x-y subspace by 14% compared with the conventional SDA with whole control set.
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ISSN:0018-9464
1941-0069
DOI:10.1109/TMAG.2024.3427690