Date of Award

Fall 2003

Document Type

Thesis - Restricted

Degree Name

Master of Science (MS)

Department

Electrical Engineering

First Advisor

Arkadan, Abdul-Rahman A.

Second Advisor

Hock, Jeffrey

Third Advisor

Yaz, Edwin

Abstract

This work investigates the use of fuzzy logic to identify and to learn the performance of electromagnetic devices. Results of two case studies involving AC actuator and Electromagnetic launcher are presented. The work also involves the development of design optimization methodology that make use of fuzzy membership functions to represent multi objective cost functions. The data used to train the fuzzy logic model are gathered from a Finite Element State Space, FE-SS, modeling environment. Two approaches are used in setting the FE-SS environment. The first is iterative and the other uses inductance family of curve approach. The first approach iterates between the FE and SS models until convergence occurs. The second approach runs the FE model and SS model independently. Those techniques are applied to a prototype AC actuator and an Electromagnetic launcher.

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