Enhanced Model Predictive Torque Control of Fault-Tolerant Five-Phase Permanent Magnet Synchronous Motor With Harmonic Restraint and Voltage Preselection

This article investigates an enhanced model predictive torque control (MPTC) strategy to improve the fault-tolerant capability of a five-phase permanent magnet synchronous motor drive under open-circuit fault operation. The conventional fault-tolerant MPTC is focused on the control of the stator flu...

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Bibliographic Details
Published in:IEEE transactions on industrial electronics (1982) 2020-08, Vol.67 (8), p.6259-6269
Main Authors: Huang, Wentao, Hua, Wei, Chen, Fuyang, Zhu, Jianguo
Format: Article
Language:English
Subjects:
Circuits
Electric potential
Fault tolerance
Fault tolerant
Fault tolerant systems
five-phase
Flux
flux-switching
Harmonic analysis
model predictive control (MPC)
Motor drives
Permanent magnets
Predictive control
Predictive models
preselection
Stators
Strategy
Subspaces
Synchronous motors
Torque
Voltage
Workload
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Summary:This article investigates an enhanced model predictive torque control (MPTC) strategy to improve the fault-tolerant capability of a five-phase permanent magnet synchronous motor drive under open-circuit fault operation. The conventional fault-tolerant MPTC is focused on the control of the stator flux amplitude and the torque in the fundamental subspace, suffering from the influences of the unregulated harmonic subspace and the large computational burden. Hence, an MPTC strategy considering the control of both fundamental and harmonic subspaces is proposed. Apart from the stator flux and the torque, the harmonic current in the x-y subspace is also selected and controlled in this strategy. In addition, to mitigate the workload of the proposed MPTC, the voltage vectors are preselected according to the stator flux error. With the proposed MPTC, the regulation of both subspaces is realized. Furthermore, the computational burden is significantly alleviated. Finally, comparative experiments are conducted to validate the effectiveness of the proposed control strategy.
ISSN:0278-0046
1557-9948
DOI:10.1109/TIE.2019.2938469