Validation of a magnetic network-based dynamic model of permanent magnet linear synchronous machine built by finite reluctance approach

The finite reluctance approach is based on a simple synergy between a basic magnetic domain decomposition rule and the voltage balance at the terminals of any winding acting in the domain. The finite reluctance approach is thought as a tool for fast dynamic simulations of any kind of machine, but it is particularly adapt for irregular flux geometries as in fractional-slot surface-mounted permanent magnet machines with large slots and high slot flux leakages, for which only the finite element method has found good usage. This approach is based on the definition of a complementary mesh interlaced with the reluctance mesh, on the concept of material cell, and on unique rules to carry out both reluctances and magneto-motive forces. At this scope, definitions of mesh nodes, co-nodes, and auxiliary nodes are shown. The iron saturation can be easily taken in account, as well as motion effects. The circuit flux linkages are elected as state variables for integration, and they are directly linked to the loop fluxes in the magnetic network. The finite reluctance approach has been applied in this paper for dynamic modeling of an inverter-fed permanent-magnet linear synchronous motor

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Finite reluctance approach: A systematic method for the construction of magnetic network-based dynamic models of electrical machines

Bruzzese

Zito

Tessarolo

2014

2014 AEIT Annual Conference - From Research to Industry: The Need for a More Effective Technology Transfer (AEIT)

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A finite reluctance approach to electrical machine modeling and simulation: Magnetic network-based field solutions in MatLab environment

Bruzzese

Zito

Santini

et al. 2014

IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society

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An approach to machine modeling by using finite reluctances is proposed. The finite reluctance approach is well suited for fast modeling and dynamic simulation of electrical machines in general and of fractional-slot surface-mounted permanent magnet machines in particular. The latter usually have very large air gap and slots, with relevant leakage and large tangential components of flux density in air gap, slot, and magnets as well. Modeling tools as winding functions are not accurate enough in this case, and thus time-stepping finite elements are used, which are slow and with limited time-step resolution (i.e. low simulation frequency). The approach used in this paper uses magnetic networks built on the principle of the cell theory. Network reluctances and magnet MMFs are defined by using unique rules. This paper shows that, besides faster dynamic simulations, the finite reluctance approach allows the graphical representation of the magnetic vector and scalar fields inside the machine, in a way very similar to the more cumbersome finite element method, but with a much smaller computational effort. The results from both the methods are presented and compared for a case study of permanent magnet linear synchronous motor

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Validation of a magnetic network-based dynamic model of permanent magnet linear synchronous machine built by finite reluctance approach

Cited by 2 publications

References 9 publications

Finite reluctance approach: A systematic method for the construction of magnetic network-based dynamic models of electrical machines

Finite reluctance approach: A systematic method for the construction of magnetic network-based dynamic models of electrical machines

A finite reluctance approach to electrical machine modeling and simulation: Magnetic network-based field solutions in MatLab environment

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