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Georgia Tech

1. Shao, Hang. Electro-magnetic modeling and design optimization of synchronous reluctance machines and single-phase induction machines.

Degree: PhD, Electrical and Computer Engineering, 2019, Georgia Tech

The objective of the proposed research is to develop the analytical electro-magnetic (EM) models for synchronous reluctance machines (SynRMs) and single-phase induction machines (IMs), so as to generate the optimal designs to improve their performances. For the SynRM, a universal analytical model is proposed based on Maxwell’s equations and conformal mapping. Saturation effect is modeled with the help of the magnetic equivalent circuit (MEC) model. For the single-phase IM, the equivalent circuit model is adopted in order to analyze the machine performance from the design parameters. Evolutionary algorithms are used to conduct the multi-objective optimization (MOO) for the SynRM and single-phase IM. The optimal designs show improved performance compared with the original designs, and the time consumed is acceptable due to the time efficiency of the analytical model. The ultimate goal of this research is to create a computationally efficient design tool that has the ability to rapidly locate an optimal design candidate which satisfies the design specifications and objectives. Once the optimal design candidate is located, a final design can be easily completed by further refinement using the commercially available finite element analysis (FEA) software. Advisors/Committee Members: Habetler, Thomas G. (advisor), Saeedifard, Maryam (committee member), Molzahn, Daniel K. (committee member), Mayor, J. Rhett (committee member), He, Lijun (committee member).

Subjects/Keywords: Synchronous reluctance machines; Maxwell's equations; Magnetic equivalent circuit; Finite element analysis; Particle swarm optimization; Differential evolution; Pareto front; Single-phase induction machines; Multi-objective optimization

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Shao, H. (2019). Electro-magnetic modeling and design optimization of synchronous reluctance machines and single-phase induction machines. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62272

Chicago Manual of Style (16th Edition):

Shao, Hang. “Electro-magnetic modeling and design optimization of synchronous reluctance machines and single-phase induction machines.” 2019. Doctoral Dissertation, Georgia Tech. Accessed March 03, 2021. http://hdl.handle.net/1853/62272.

MLA Handbook (7th Edition):

Shao, Hang. “Electro-magnetic modeling and design optimization of synchronous reluctance machines and single-phase induction machines.” 2019. Web. 03 Mar 2021.

Vancouver:

Shao H. Electro-magnetic modeling and design optimization of synchronous reluctance machines and single-phase induction machines. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2021 Mar 03]. Available from: http://hdl.handle.net/1853/62272.

Council of Science Editors:

Shao H. Electro-magnetic modeling and design optimization of synchronous reluctance machines and single-phase induction machines. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/62272

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