Surrogate Modeling for Drive Co-Simulation Including Local Irreversible Demagnetization Knowledge

IF 1.6 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
T. Henneron, J. Tomezyk, E. Semail
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引用次数: 0

Abstract

In order to survey possible local demagnetization of permanent magnet drives during transient operations and/or faulty functioning in case of multi-phase drives, co-simulation including converter, vector control, and finite element model could be investigated. Nevertheless, expensive simulation time limits practically this solution. To solve this problem, the paper proposes a surrogate model of an electrical machine taking into account locally the irreversible demagnetization effect. In case of a multi-phase machine working in transient operations and irreversible demagnetization, the proposed surrogate model gives large benefit in computational time in comparison with an finite element approach.

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来源期刊
CiteScore
4.60
自引率
6.20%
发文量
101
审稿时长
>12 weeks
期刊介绍: Prediction through modelling forms the basis of engineering design. The computational power at the fingertips of the professional engineer is increasing enormously and techniques for computer simulation are changing rapidly. Engineers need models which relate to their design area and which are adaptable to new design concepts. They also need efficient and friendly ways of presenting, viewing and transmitting the data associated with their models. The International Journal of Numerical Modelling: Electronic Networks, Devices and Fields provides a communication vehicle for numerical modelling methods and data preparation methods associated with electrical and electronic circuits and fields. It concentrates on numerical modelling rather than abstract numerical mathematics. Contributions on numerical modelling will cover the entire subject of electrical and electronic engineering. They will range from electrical distribution networks to integrated circuits on VLSI design, and from static electric and magnetic fields through microwaves to optical design. They will also include the use of electrical networks as a modelling medium.
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