Computational Modelling Group

Alex Stuikys

Postgraduate Research Student
Electronics and Computer Science (FPAS)
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This particular PhD research at the Institute for Complex Systems Simulation is about the computer modelling, analysis and design methodology of electric machines and drives operating on the reluctance torque principle. Some of the machines operating on the reluctance torque principle are: Switched Reluctance (SR), Variable Reluctance (VR), Synchronous Reluctance Motor (SynRM) and stepper motor. The first three machines are magnetically nonlinear and require sophisticated computational and computer simulation methods and techniques in order to characterise their performance accurately and quickly.

Given the mechanical robustness and economical design advantages (no permanent magnets) of the SR and SynRM machines there has been an increased motivation by the industry to adapt these machines for the propulsion of pure electric and hybrid cars. The PhD research project will see development of unique and computationally efficient design optimization, simulation and analysis methodologies for the nonlinear SR and SynRM machines as used in the automotive electric propulsion applications and variable speed industrial drives. The developed computer based design optimization, simulation and analysis methodologies will enable rapid optimization of the SR and SynRM machines at a system level taking into account simultaneously the: magnetic, electrical, thermal and mechanical design aspects. The research project will conclude with an exemplary design optimization of the automotive electric traction and industrial drive SR and SynRM machines including detailed consideration of their practical development and manufacturing matters.

Keywords: Switched Reluctance, Synchronous Reluctance, reluctance torque, traction motors, design, optimization, analysis, modelling, simulation, electrical, magnetic, thermal, mechanical.