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  <title><![CDATA[Ph.D. Dissertation Defense - Hang Shao]]></title>
  <body><![CDATA[<p><strong>Title</strong><em>:&nbsp; Electro-magnetic Modeling and Design Optimization of Synchronous Reluctance Machines and Single-phase Induction Motors</em></p>

<p><strong>Committee:</strong></p>

<p>Dr. Thomas Habetler, Advisor</p>

<p>Dr. Maryam Saeedifard, ECE&nbsp;</p>

<p>Dr. Daniel Molzahn, ECE</p>

<p>Dr. J. Rhett Mayor, ME</p>

<p>Dr. Lijun He, GE Global Research</p>

<p><strong>Abstract:</strong></p>

<p>The objective of the proposed research is to develop the analytical electro-magnetic (EM) models for synchronous reluctance machines (SynRMs) and single-phase&nbsp;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&rsquo;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.&nbsp;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.&nbsp;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.&nbsp;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.</p>
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