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Name : Mr.Suphachai Kunasuntiworagul
Thesis Title : Grid-enable iMOOSE Simulation Front-end for
Switched Reluctance Motors
Major Field : Electrical Engineering
King Mongkut’s Institute of Technology North Bangkok
Thesis Advisor : Associate Professor Dr.Vara Varavithya
Academic Year : 2006
Abstract
Grid-enable simulation front-end for switched reluctance machines (SRM) is studied
in this thesis. The matlab based front-end system supporting finite element calculation was
developed to support the design of SRM which helps reducing the product design cycle.
Finite element solving platform used in this thesis is based on the open source gmsh and
iMOOSE software. Results of the calculation show detail behavior of the magnetic flux as
well as other mechanical characteristics. For complex problems, the system require large
amount of calculation and the process of modeling and execution is very complex. In this
work, we present a framework for matlab-based front-end electromagnetic problem solving
environment. The proposed system supports a set of necessary parameters in designing
SRMs. The underlining calculation is serviced by computational grid via grid services.
The front-end system can harvest computational power available on the grid. We hide large
amount of details in using iMOOSE software. Components of each stage on the modeling
of SRMs are shown. This work allows a designer of SRM concentrate more on the design
and parameter studying of the SRMs. An approach adopted in this thesis can be extended
to other classes of electrical machines.
(Total 48 pages)
Keywords : Switched Reluctance Motor, Finite Element Method, iMOOSE, Matlab,
Grid System
Advisor
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