Simplified Fault-Tolerant Model Predictive Control for a Five-Phase Permanent-Magnet Motor With Reduced Computation Burden

This article proposes a fault-tolerant finite control set model predictive control for a five-phase permanent-magnet (PM) motor drive, which offers reduced computation burden and simplified control model. The virtual voltage vectors synthesized from two basic vectors are used to reduce the computati...

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Bibliographic Details
Published inIEEE transactions on power electronics Vol. 35; no. 4; pp. 3850 - 3858
Main Authors Tao, Tao, Zhao, Wenxiang, Du, Yuxuan, Cheng, Yu, Zhu, Jihong
Format Journal Article
LanguageEnglish
Published New York IEEE 01.04.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Aerospace electronics
Computation
Decoupling
Fault tolerance
Fault tolerant systems
Fault-tolerant control
five-phase motor
Hysteresis motors
model predictive control (MPC)
Permanent magnets
permanent-magnet (PM) motor
Predictive control
Reconfiguration
Switches
Switching sequences
virtual voltage vector (VV)
Voltage control
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Summary:This article proposes a fault-tolerant finite control set model predictive control for a five-phase permanent-magnet (PM) motor drive, which offers reduced computation burden and simplified control model. The virtual voltage vectors synthesized from two basic vectors are used to reduce the computation burden. Meanwhile, the steady-state performance is improved. Combining with a reduced decoupling matrix, the discrete model of the five-phase PM motor before and after fault remains unchanged. So, the reconfiguration of the control structure is minimal. Then, a control set and corresponding switching sequence are proposed, which are very suitable for the real-time system. Finally, the validity of the proposed fault-tolerant control is proved by experiments.
ISSN:0885-8993
1941-0107
DOI:10.1109/TPEL.2019.2934578